RAG (Retrieval-AugmentedGeneration) Systemwith

AWSAmplify:ADetailedWalkthroughfrom

ArchitecturetoUserInterface

ContentsList

Introduction ○ OverviewoftheRAGSystem ○ ObjectivesandGoals
SystemArchitecture ○ High-LevelArchitecture ○ DataIngestionandProcessing ○ DataStorage ○ EmbeddingandIndexing ○ ChatInterface ○ WebApplication ○ SecurityandAuthentication
Entity-Relationship(ER)Diagram ○ EntitiesandRelationships ○ ERDiagramExplanation
ClassDiagram ○ MainComponents ○ ClassDiagramExplanation
ProjectStructure ○ DirectoryStructure ○ InitializationandConfiguration ○ AWSServicesConfiguration ○ LambdaFunctionCode ○ Front-EndImplementation ■ Components ■ GraphQLQueriesandMutations ■ Subscriptions
FunctionalSpecification ○ UserManagement ■ UserRegistration ■ UserAuthentication ■ UserInformationRetrieval ○ DataIngestion ■ CustomIngestionScriptCreation ■ DataIngestionExecution ■ DataChunking ○ DataStorage

■ DataStorageinS
■ DataRetrievalfromS
○ Full-TextSearch
■ Full-TextSearchExecution
■ DataIndexing
○ ChatInterface
■ ChatQuerySubmission
■ ChatResponseGeneration
○ SecurityandAuthentication
■ UserAuthentication
■ UserAuthorization

Non-FunctionalSpecification ○ Performance ○ Scalability ○ Security ○ Reliability ○ Maintainability
End-to-EndUserJourney ○ UserRegistrationandAuthentication ○ DataIngestion ○ DataStorage ○ Full-TextSearch ○ ChatInterface ○ UserManagement
UI/UXDesign ○ ApplicationShell ■ Header(NavigationBar) ■ MainContentArea ■ Footer ○ ExamplePages ■ HomePage ■ IngestionScriptsPage ■ DataStoragePage ■ SearchPage ■ ChatPage ■ UserProfilePage ○ ResponsiveDesign

DetailedSubjects

Introduction ○ OverviewoftheRAGSystem:AbriefintroductiontotheRAGsystemandits purpose. ○ ObjectivesandGoals:Keyobjectivesandgoalsofthesystem,suchas customdataingestion,full-textsearch,andchatinteractions.
SystemArchitecture ○ High-LevelArchitecture:Ahigh-leveloverviewofthesystem'sarchitecture, includingcomponentsandtheirinteractions.

○ DataIngestionandProcessing:Detailsonhowdataisingested,processed,
andchunked.
○ DataStorage:DetailsonhowdataisstoredinS3andmetadatain
DynamoDB.
○ EmbeddingandIndexing:Detailsonhowdataisembeddedandindexedfor
efficientretrieval.
○ ChatInterface:Detailsonthechatinterfaceforuserqueriesandresponses.
○ WebApplication:Detailsonthefront-endapplicationbuiltwithAWSAmplify.
○ SecurityandAuthentication:Detailsonuserauthenticationandauthorization
usingCognito.

Entity-Relationship(ER)Diagram ○ EntitiesandRelationships:Descriptionofthemainentities(User, IngestionScript,DataChunk,SearchResult,Query)andtheirrelationships. ○ ERDiagramExplanation:VisualrepresentationandexplanationoftheER diagram.
ClassDiagram ○ MainComponents:Overviewofthemaincomponents(User,IngestionScript, DataChunk,FullTextSearch,Query,Security,DataIngestion,DataStorage, FullTextSearch,ChatInterface,WebApplication). ○ ClassDiagramExplanation:Detailedexplanationoftheclassdiagram, includingattributesandmethods.
ProjectStructure ○ DirectoryStructure:Overviewoftheprojectdirectorystructure. ○ InitializationandConfiguration:Stepstoinitializeandconfiguretheproject usingAWSAmplify. ○ AWSServicesConfiguration:StepstoconfigureAWSservices(API,Auth, Function,Storage). ○ LambdaFunctionCode:CodeexamplesfortheLambdafunctions (DataIngestionLambda,FullTextSearchLambda,ChatLambda). ○ Front-EndImplementation: ■ Components:Codeexamplesforthefront-endcomponents (CodeEditor,Chat,Auth). ■ GraphQLQueriesandMutations:CodeexamplesforGraphQL queriesandmutations. ■ Subscriptions:CodeexamplesforGraphQLsubscriptions.
FunctionalSpecification ○ UserManagement: ■ UserRegistration:APIendpointandexampleforuserregistration. ■ UserAuthentication:APIendpointandexampleforuser authentication. ■ UserInformationRetrieval:APIendpointandexampleforretrieving userinformation. ○ DataIngestion: ■ CustomIngestionScriptCreation:APIendpointandexamplefor creatingacustomingestionscript. ■ DataIngestionExecution:APIendpointandexampleforexecutinga customingestionscript. ■ DataChunking:APIendpointandexampleforchunkingdata.

○ DataStorage:
■ DataStorageinS3:APIendpointandexampleforstoringdatainS3.
■ DataRetrievalfromS3:APIendpointandexampleforretrievingdata
fromS3.
○ Full-TextSearch:
■ Full-TextSearchExecution:APIendpointandexampleforperforming
afull-textsearch.
■ DataIndexing:APIendpointandexampleforindexingdata.
○ ChatInterface:
■ ChatQuerySubmission:APIendpointandexampleforsubmittinga
chatquery.
■ ChatResponseGeneration:APIendpointandexampleforgenerating
achatresponse.
○ SecurityandAuthentication:
■ UserAuthentication:APIendpointandexampleforuser
authentication.
■ UserAuthorization:APIendpointandexampleforuserauthorization.

Non-FunctionalSpecification ○ Performance:Responsetimeandthroughputrequirements. ○ Scalability:Horizontalandverticalscalingrequirements. ○ Security:Dataencryption,authentication,andinputvalidation. ○ Reliability:Errorhandling,backup,andrecovery. ○ Maintainability:Codequality,documentation,andmonitoring.
End-to-EndUserJourney ○ UserRegistrationandAuthentication:Stepsforuserregistrationand authentication. ○ DataIngestion:Stepsforcreatingacustomingestionscriptandingesting data. ○ DataStorage:Stepsforviewingandmanagingstoreddata. ○ Full-TextSearch:Stepsforperformingafull-textsearch. ○ ChatInterface:Stepsforsubmittingachatqueryandreceivingaresponse. ○ UserManagement:Stepsforviewingandmanaginguserinformation.
UI/UXDesign ○ ApplicationShell: ■ Header(NavigationBar):Designanddescriptionofthenavigationbar. ■ MainContentArea:Designanddescriptionofthemaincontentarea. ■ Footer:Designanddescriptionofthefooter. ○ ExamplePages: ■ HomePage:Designanddescriptionofthehomepage. ■ IngestionScriptsPage:Designanddescriptionoftheingestionscripts page. ■ DataStoragePage:Designanddescriptionofthedatastoragepage. ■ SearchPage:Designanddescriptionofthesearchpage. ■ ChatPage:Designanddescriptionofthechatpage. ■ UserProfilePage:Designanddescriptionoftheuserprofilepage. ○ ResponsiveDesign:Designanddescriptionofthemobileview.

Section1:Introduction

1.1OverviewoftheRAGSystem

TheRAG(Retrieval-AugmentedGeneration)systemisapowerfulandscalablesolutionbuilt onAWSAmplify,designedtoingestcustomdata,performfull-textsearch,andprovidea chatinterfaceforuserinteractions.ThissystemleveragesserverlessAWSservicesto ensurehighperformance,reliability,andcost-effectiveness.TheprimarygoaloftheRAG systemistoenableuserstoefficientlymanageandinteractwiththeirdata,makingita valuabletoolforvariousapplications,suchasdataanalysis,contentmanagement,and customersupport.

1.2ObjectivesandGoals

TheRAGsystemaimstoachievethefollowingobjectivesandgoals:

CustomDataIngestion : ○ Objective :Allowuserstowriteandexecutecustomscriptstoingestand processtheirdata. ○ Goal :Provideaflexibleanduser-friendlyinterfacefordataingestion, ensuringthatuserscaneasilyingestdatafromvarioussourcesandformats.
DataChunkingandStorage : ○ Objective :Splittheingesteddataintomanageablechunksandstorethemin ascalableandsecuremanner. ○ Goal :EnsurethatdataisefficientlystoredinAmazonS3andmetadatais managedinAmazonDynamoDB,providingeasyaccessandmanagement.
Full-TextSearch : ○ Objective :Enableuserstoperformfull-textsearchoverthestoreddata. ○ Goal :Implementarobustfull-textsearchmechanismusingAWSLambda andaflexiblesearchlibrary(e.g.,flexsearch),ensuringthatuserscan quicklyfindrelevantinformation.
ChatInterface : ○ Objective :Provideachatinterfaceforuserstosubmitqueriesandreceive responses. ○ Goal :Integrateagenerativemodel(e.g.,GPT-3)togeneratenaturaland contextuallyrelevantresponses,enhancingtheuserexperience.
SecurityandAuthentication : ○ Objective :Ensurethesecurityandprivacyofuserdata. ○ Goal :ImplementrobustuserauthenticationandauthorizationusingAmazon Cognito,andencryptdataatrestandintransitusingAWSKMSandHTTPS.
ScalabilityandPerformance : ○ Objective :Buildasystemthatcanhandleagrowingnumberofusersand data.

○ Goal :UtilizeAWSserverlessservices(e.g.,AWSLambda,AmazonS3,
AmazonDynamoDB,AWSAppSync)toautomaticallyscaleandhandle
increasedload,ensuringhighperformanceandreliability.

User-FriendlyInterface : ○ Objective :Provideanintuitiveanduser-friendlyinterfaceforallsystem functionalities. ○ Goal :DesignaresponsiveandvisuallyappealinguserinterfaceusingAWS AmplifyandReact,ensuringthatuserscaneasilynavigateandusethe systemonvariousdevices.
MaintainabilityandExtensibility : ○ Objective :Ensurethatthesystemiseasytomaintainandextend. ○ Goal :Followbestpracticesforcodequality,documentation,andtesting,and useAWSCloudWatchandX-Rayformonitoringanddebugging.

1.3KeyFeatures

TheRAGsystemincludesthefollowingkeyfeatures:

UserManagement : ○ UserRegistration :Userscanregisterwithausername,email,and password. ○ UserAuthentication :Userscanloginusingtheircredentials,andthe systemprovidessecureauthenticationusingAmazonCognito. ○ UserProfileManagement :Userscanviewandedittheirprofileinformation, includingusernameandemail.
DataIngestion : ○ CustomIngestionScriptCreation :Userscancreateandsavecustom ingestionscriptstoprocessandstoredata. ○ DataIngestionExecution :Userscanexecutetheircustomscriptstoingest data,whichisthenchunkedandstoredinAmazonS3.
DataStorage : ○ DataStorageinS3 :DatachunksarestoredinAmazonS3forefficientand scalablestorage. ○ MetadataManagement :Metadataaboutthedatachunksisstoredin AmazonDynamoDBforeasyretrievalandmanagement.
Full-TextSearch : ○ Full-TextSearchExecution :Userscanperformfull-textsearchoverthe storeddatausingaflexiblesearchlibrary(e.g.,flexsearch). ○ DataIndexing :Datachunksareindexedforefficientsearch,ensuringfast andaccurateresults.
ChatInterface : ○ ChatQuerySubmission :Userscansubmitchatqueriesthroughthechat interface. ○ ChatResponseGeneration :Thesystemgeneratesnaturalandcontextually relevantresponsesusingagenerativemodel(e.g.,GPT-3).
SecurityandAuthentication : ○ UserAuthentication :SecureuserauthenticationusingAmazonCognito.

○ DataEncryption :DataisencryptedatrestusingAWSKMSandintransit
usingHTTPS.
○ InputValidation :Allinputsarevalidatedtopreventinjectionattacksand
ensuredataintegrity.

1.4UseCases

TheRAGsystemisdesignedtosupportavarietyofusecases,including:

DataAnalysis : ○ UseCase :Dataanalystscaningestandsearchlargedatasetstoextract insightsandgeneratereports. ○ Benefit :Thesystemprovidesapowerfulandflexibletoolfordataanalysis, enablinganalyststoefficientlymanageandquerytheirdata.
ContentManagement : ○ UseCase :Contentmanagerscaningestandsearchthroughlargevolumes ofcontenttofindrelevantinformation. ○ Benefit :Thesystemensuresthatcontentiseasilyaccessibleand searchable,improvingcontentmanagementprocesses.
CustomerSupport : ○ UseCase :Customersupportagentscanusethechatinterfacetoquicklyfind andproviderelevantinformationtocustomers. ○ Benefit :Thesystemenhancesthecustomersupportexperiencebyproviding fastandaccurateresponses,improvingcustomersatisfaction.
ResearchandDevelopment : ○ UseCase :Researcherscaningestandsearchthroughresearchdatatofind relevantinformationandgenerateinsights. ○ Benefit :Thesystemsupportstheresearchprocessbyprovidingapowerful andflexibletoolfordatamanagementandanalysis.

1.5SystemArchitecture

TheRAGsystemisbuiltonaserverlessarchitectureusingAWSservices,ensuringhigh performance,scalability,andcost-effectiveness.Thekeycomponentsofthesysteminclude:

AWSAmplify : ○ Front-EndDevelopment :AWSAmplifyprovidesasetoftoolsandservices tobuildfull-stackapplications,includingfront-enddevelopmentwithReactor Vue. ○ AuthenticationandAuthorization :AWSAmplifyintegrateswithAmazon Cognitoforuserauthenticationandauthorization.
AWSLambda : ○ DataIngestion :CustomingestionscriptsareexecutedasAWSLambda functionstoprocessandstoredata. ○ Full-TextSearch :Full-textsearchisperformedusingAWSLambda functions. ○ ChatInterface :ChatqueriesarehandledbyAWSLambdafunctions,which generateresponsesusingagenerativemodel.
AmazonS3 : ○ DataStorage :DatachunksarestoredinAmazonS3forefficientand scalablestorage. ○ DataRetrieval :DatachunksareretrievedfromAmazonS3forfull-text searchandchatresponses.
AmazonDynamoDB : ○ MetadataManagement :Metadataaboutthedatachunksisstoredin AmazonDynamoDBforeasyretrievalandmanagement.
AWSAppSync : ○ APIGateway :AWSAppSyncprovidesapowerfulGraphQLAPIfordata accessandreal-timeinteractions,replacingtheneedforatraditionalAPI Gateway.
AmazonCognito : ○ UserAuthenticationandAuthorization :AmazonCognitomanagesuser sign-up,sign-in,andaccesscontrol,ensuringsecureuserauthenticationand authorization.

1.6Conclusion

TheRAGsystemisacomprehensiveandpowerfulsolutionformanagingandinteracting withcustomdata.ByleveragingAWSserverlessservices,thesystemensureshigh performance,scalability,andsecurity.Theuser-friendlyinterfaceandrobustfeaturesmakeit avaluabletoolforvariousapplications,includingdataanalysis,contentmanagement, customersupport,andresearchanddevelopment.Thisintroductionprovidesaclear overviewofthesystem'sobjectives,goals,keyfeatures,usecases,andarchitecture,setting thestageforthedetailedsectionsthatfollow.

Section2:SystemArchitecture

2.1High-LevelArchitecture

TheRAGsystemisbuiltonaserverlessarchitectureusingAWSservices,ensuringhigh performance,scalability,andcost-effectiveness.Thekeycomponentsofthesysteminclude:

AWSAmplify :Forfront-enddevelopmentandauthentication.
AWSLambda :Forexecutingcustomscripts,performingfull-textsearch,and handlingchatqueries.
AmazonS3 :Forstoringdatachunks.
AmazonDynamoDB :Forstoringmetadataaboutdatachunks.
AWSAppSync :ForprovidingaGraphQLAPIfordataaccessandreal-time interactions.
AmazonCognito :Foruserauthenticationandauthorization.

2.2DataIngestionandProcessing

2.2.1CustomIngestionScriptCreation

● Objective :Allowuserstowriteandexecutecustomscriptstoingestandprocess
theirdata.
● Components :
○ CodeEditor :Auser-friendlycodeeditorwithinthewebapplicationwhere
userscanwritecustomingestionscripts.
○ LambdaFunction :AnAWSLambdafunctionthatexecutesthecustom
ingestionscripts.

2.2.2DataIngestionExecution

● Objective :Processandstoretheingesteddata.
● Components :
○ LambdaFunction :TheLambdafunctionprocessesthedata,chunksit,and
storesitinAmazonS3.
○ APIGateway :AWSAppSyncisusedtotriggertheLambdafunctionfromthe
webapplication.

2.2.3DataChunking

● Objective :Splittheingesteddataintomanageablechunks.
● Components :
○ LambdaFunction :TheLambdafunctionchunksthedataandstoreseach
chunkinAmazonS3.

CodeExample:DataIngestionLambdaFunction

import boto import json

s3= boto3.client('s3')

def lambda_handler(event,context): script_content=event['script_content'] bucket_name= 'your-bucket-name' key_prefix= 'data/chunked_data.json'

#Chunk thedata
chunks= [script_content[i:i+100]for i inrange(0,len(script_content), 100)]

#Store chunks inS fori,chunk inenumerate(chunks): s3.put_object(Bucket=bucket_name, Key=f'{key_prefix}/chunk_{i}.json', Body=json.dumps(chunk))

return{
'statusCode': 200,
'body':'Data ingestedand chunkedsuccessfully'
}

2.3DataStorage

2.3.1DataStorageinS

● Objective :Storedatachunksinascalableandsecuremanner.
● Components :
○ AmazonS3 :DatachunksarestoredinAmazonS3forefficientandscalable
storage.
○ MetadataManagement :Metadataaboutthedatachunksisstoredin
AmazonDynamoDBforeasyretrievalandmanagement.

2.3.2MetadataManagement

● Objective :Storemetadataaboutthedatachunks.
● Components :
○ AmazonDynamoDB :MetadatasuchaschunkID,scriptID,chunkcontent,
S3key,andcreationtimestamparestoredinAmazonDynamoDB.

CodeExample:DataStorageLambdaFunction

import boto import json

s3= boto3.client('s3') dynamodb =boto3.resource('dynamodb')

table= dynamodb.Table('DataChunks')

def lambda_handler(event,context): chunk_id= event['chunk_id'] script_id=event['script_id'] chunk_content= event['chunk_content'] s3_key= event['s3_key'] bucket_name= 'your-bucket-name'

#Store chunkinS
s3.put_object(Bucket=bucket_name,Key=s3_key, Body=json.dumps(chunk_content))

#Store metadatain DynamoDB
table.put_item(
Item={
'chunk_id': chunk_id,
'script_id':script_id,
'chunk_content': chunk_content,
's3_key':s3_key,
'created_at':str(datetime.now())
}
)

return{
'statusCode': 200,
'body':'Data stored successfully'
}

2.4EmbeddingandIndexing

2.4.1Full-TextSearchExecution

● Objective :Enableuserstoperformfull-textsearchoverthestoreddata.
● Components :
○ LambdaFunction :AnAWSLambdafunctionthatperformsfull-textsearch
usingaflexiblesearchlibrary(e.g.,flexsearch).
○ S3DataRetrieval :TheLambdafunctionretrievesdatachunksfromAmazon
S3andperformsthesearch.

2.4.2DataIndexing

● Objective :Indexdatachunksforefficientsearch.
● Components :
○ LambdaFunction :TheLambdafunctionindexesdatachunksforefficient
search,ensuringfastandaccurateresults.

CodeExample:Full-TextSearchLambdaFunction

import boto import json

import flexsearch

s3= boto3.client('s3')

def lambda_handler(event,context): query= event['query'] bucket_name= 'your-bucket-name' key_prefix= 'data/chunked_data.json'

#Initialize flexsearch
index= flexsearch.Index()

#Retrieve and indexdatachunks fromS response= s3.list_objects_v2(Bucket=bucket_name, Prefix=key_prefix) forobj inresponse.get('Contents',[]): key = obj['Key'] data= s3.get_object(Bucket=bucket_name, Key=key)['Body'].read().decode('utf-8') chunks = json.loads(data) for chunkinchunks: index.add(chunk)

#Perform full-textsearch
results= index.search(query)

return{
'statusCode': 200,
'body':json.dumps(results)
}

2.5ChatInterface

2.5.1ChatQuerySubmission

● Objective :Allowuserstosubmitchatqueries.
● Components :
○ ChatInterface :Auser-friendlychatinterfacewithinthewebapplication
whereuserscansubmitqueries.
○ LambdaFunction :AnAWSLambdafunctionthathandlesthechatqueries
andgeneratesresponses.

2.5.2ChatResponseGeneration

● Objective :Generatenaturalandcontextuallyrelevantresponses.
● Components :
○ LambdaFunction :TheLambdafunctionretrievesrelevantdatachunks
usingthefull-textsearchLambdaandgeneratesresponsesusinga
generativemodel(e.g.,GPT-3).

CodeExample:ChatLambdaFunction

import boto import json

s3= boto3.client('s3') lambda_client =boto3.client('lambda')

def lambda_handler(event,context): query= event['query']

#CallFull-TextSearch Lambda
response= lambda_client.invoke(
FunctionName='FullTextSearchLambda',
Payload=json.dumps({'query': query})
)
search_results=json.loads(response['Payload'].read().decode('utf-8'))['body']

#Generate response usinga generativemodel (e.g.,GPT-3)
defgenerate_response(search_results):
# Placeholder forgenerative model
return f"Results:{search_results}"

response= generate_response(search_results)

return{
'statusCode': 200,
'body':response
}

2.6WebApplication

2.6.1Front-EndDevelopment

● Objective :Provideauser-friendlyandresponsivewebapplication.
● Components :
○ React :Thefront-endisbuiltusingReact,providingadynamicandinteractive
userinterface.
○ AWSAmplify :AWSAmplifyisusedforfront-enddevelopment,
authentication,anddataaccess.

2.6.2AuthenticationandAuthorization

● Objective :Ensuresecureuserauthenticationandauthorization.
● Components :
○ AmazonCognito :AmazonCognitomanagesusersign-up,sign-in,and
accesscontrol,ensuringsecureuserauthenticationandauthorization.

CodeExample:ReactComponentforChatInterface

import React, {useState } from'react'; import { API,Auth}from'aws-amplify';

constChat= ()=> { const[query,setQuery]= useState(''); const[response, setResponse]= useState('');

consthandleSubmit= async ()=>{
try{
const user= awaitAuth.currentAuthenticatedUser();
const response= await API.post('ragApi','/chat', {
body: {
query,
userId:user.attributes.sub
}
});
setResponse(response);
}catch (error){
console.error('Error handlingquery', error);
}
};

return (

setQuery(e.target.value)}/> SendQuery

{response}

); };

export defaultChat;

2.7SecurityandAuthentication

2.7.1UserAuthentication

● Objective :SecureuserauthenticationusingAmazonCognito.
● Components :
○ AmazonCognito :Managesusersign-up,sign-in,andaccesscontrol.
○ JWTTokens :JWTtokensareusedtoauthenticateandauthorizeusers.

2.7.2UserAuthorization

● Objective :Ensurethatusershavetheappropriatepermissionstoaccessand
performactions.
● Components :
○ IAMRoles :IAMrolesareusedtocontrolaccesstoAWSresourcesfromthe
Lambdafunctionsandthewebapplication.

CodeExample:UserAuthenticationinReact

import React, {useState } from'react'; import { Auth}from'aws-amplify';

constAuthComponent = ()=>{ const[username, setUsername]= useState(''); const[password, setPassword]= useState(''); const[isAuthenticated,setIsAuthenticated]= useState(false);

consthandleLogin = async()=> {
try{
await Auth.signIn(username, password);
setIsAuthenticated(true);
}catch (error){
console.error('Error signingin',error);
}
};

consthandleLogout= async ()=>{
try{
await Auth.signOut();
setIsAuthenticated(false);
}catch (error){
console.error('Error signingout',error);
}
};

return (

{isAuthenticated? ( Logout ) : (

setUsername(e.target.value)} placeholder="Username"/> setPassword(e.target.value)} placeholder="Password"type="password" /> Login

)}

); };

export defaultAuthComponent;

2.8Diagrams

High-LevelArchitectureDiagram +---------------------+| User | +---------------------+|IngestionScript | +---------------------+| DataChunk | +---------------------+|FullTextSearch | +---------------------+| Query | +---------------------+| Security | +---------------------+|-userId:String | +---------------------+|-scriptId:String | +---------------------+|-chunkId:String | +---------------------+|-searchId:String | +---------------------+|-queryId:String | +---------------------+|-userId:String | ||--username:email:StringString|| ||--userId:scriptName:StringString|| ||--scriptId:chunkContent:StringString|| ||--queryId:chunkId:StringString || ||--userId:queryText:StringString|| ||--username:email:StringString|| ||--passwordHash:createdAt:DateString|| ||--scriptContent:createdAt:DateString|| ||--s3Key:createdAt:StringDate|| ||--relevanceScore:createdAt:DateFloat|| ||--createdAt:createdAt:DateDate|| ||--createdAt:passwordHash:DateString| | +---------------------+|+createUser:User| +---------------------+|+createScript:IngestionScript+---------------------+||+createChunk:DataChunk+---------------------+||+search:List+---------------------+||+createQuery:Query+---------------------+| |+authenticate:Boolean| ||+getUser:User | |+updateScript:IngestionScript||+getChunk:DataChunk||+getSearchResults:List||+getQuery:Query| |+authorize:Boolean +---------------------+ +---------------------+ +---------------------+ +---------------------+ +---------------------+ +---------------------+ +---------------------+| DataIngestion | +---------------------+| DataStorage | +---------------------+| FullTextSearch | +---------------------+| ChatInterface | +---------------------+| WebApplication| +---------------------+ +---------------------+|-ingestionLambda:Lambda|+---------------------+|-s3Client:S3 | |+---------------------+-searchLambda:Lambda| +---------------------+|-chatLambda:Lambda| |+---------------------+-amplify:Amplify| |+---------------------+-appsync:AppSync| |+---------------------+-dynamoDBClient:DynamoDB|+---------------------+|-s3Client:S3 | |+---------------------+-appsync:AppSync| |-+---------------------+cognito:Cognito| ||++ingestData:chunkData:voidvoid|| ||++storeData:getData:DataChunk|void | ||++performSearch:indexData:voidvoid|| ||++handleQuery:generateResponse:voidvoid| |||++authenticateUser:createUser:voidvoid| | |+---------------------++executeScript:void| |+---------------------++listData:List|+---------------------+|+searchS3:void | +---------------------+|+displayChat:void| |+---------------------++createScript:void|

2.9Summary

ThissectionprovidesacomprehensiveoverviewoftheRAGsystem'sarchitecture.Itcovers thehigh-levelarchitecture,dataingestionandprocessing,datastorage,embeddingand indexing,chatinterface,webapplication,andsecurityandauthentication.Eachcomponent isdescribedindetail,includingcodeexamplesanddiagramstoillustratethesystem's structureandinteractions.Thisarchitectureensuresarobust,scalable,andsecuresolution formanagingandinteractingwithcustomdata.

Section3:Entity-Relationship(ER)Diagram

3.1Overview

TheEntity-Relationship(ER)Diagramprovidesavisualrepresentationofthedatastructures andrelationshipswithintheRAGsystem.Ithelpsinunderstandinghowdifferententitiesare relatedandhowdataisorganizedandmanaged.TheERdiagramisacrucialtoolfor databasedesignandensuresthattherelationshipsbetweenentitiesarewell-defined.

3.2EntitiesandRelationships

TheRAGsystemconsistsofthefollowingmainentities:

User ○ Attributes : ■ userId:Uniqueidentifierfortheuser(PrimaryKey). ■ username:Usernamechosenbytheuser. ■ email:User'semailaddress. ■ passwordHash:Hashedpasswordfortheuser. ■ createdAt:Timestampwhentheuseraccountwascreated.
IngestionScript ○ Attributes : ■ scriptId:Uniqueidentifierfortheingestionscript(PrimaryKey). ■ userId:ForeignkeylinkingtotheUserentity(ForeignKey). ■ scriptName:Nameoftheingestionscript. ■ scriptContent:Contentoftheingestionscript. ■ createdAt:Timestampwhenthescriptwascreated. ■ updatedAt:Timestampwhenthescriptwaslastupdated.
DataChunk ○ Attributes : ■ chunkId:Uniqueidentifierforthedatachunk(PrimaryKey). ■ scriptId:ForeignkeylinkingtotheIngestionScriptentity (ForeignKey). ■ chunkContent:Contentofthedatachunk. ■ s3Key:KeyoftheS3objectwherethedatachunkisstored. ■ createdAt:Timestampwhenthedatachunkwascreated.
FullTextSearch ○ Attributes : ■ searchId:Uniqueidentifierforthesearchresult(PrimaryKey). ■ queryId:ForeignkeylinkingtotheQueryentity(ForeignKey).

■ chunkId:ForeignkeylinkingtotheDataChunkentity(ForeignKey).
■ relevanceScore:Scoreindicatingtherelevanceofthedatachunk
tothequery.
■ createdAt:Timestampwhenthesearchresultwascreated.

Query ○ Attributes : ■ queryId:Uniqueidentifierforthequery(PrimaryKey). ■ userId:ForeignkeylinkingtotheUserentity(ForeignKey). ■ queryText:Textoftheuser'squery. ■ createdAt:Timestampwhenthequerywassubmitted.

3.3ERDiagram +---------------------+| User | +---------------------+| IngestionScript | +---------------------+| DataChunk | +---------------------+| FullTextSearch | +---------------------+| Query | +---------------------+|-userId(PK) |<----->|+---------------------+-scriptId(PK) | +---------------------+|-chunkId(PK) | +---------------------+|-searchId(PK) | +---------------------+|-queryId(PK) | ||--usernameemail || ||--userIdscriptName(FK) |<----->|| |--scriptIdchunkContent(FK) || ||--queryIdchunkId(FK)(FK) || ||--userIdqueryText(FK) || |-passwordHash | |-scriptContent | |-s3Key | |-relevanceScore | |-createdAt | |+---------------------+-createdAt | ||--createdAtupdatedAt || |+---------------------+-createdAt | |+---------------------+-createdAt | +---------------------+ +---------------------+

3.4ExplanationofRelationships

UsertoIngestionScript : ○ Relationship :One-to-Many ○ Description :Ausercancreatemultipleingestionscripts. ○ Relationship :User.userIdtoIngestionScript.userId.
IngestionScripttoDataChunk : ○ Relationship :One-to-Many ○ Description :Aningestionscriptcanproducemultipledatachunks. ○ Relationship :IngestionScript.scriptIdtoDataChunk.scriptId.
QuerytoFullTextSearch : ○ Relationship :One-to-Many ○ Description :Aquerycanhavemultiplesearchresults. ○ Relationship :Query.queryIdtoFullTextSearch.queryId.
DataChunktoFullTextSearch : ○ Relationship :Many-to-Many ○ Description :Adatachunkcanbepartofmultiplesearchresults,anda searchresultcanincludemultipledatachunks. ○ Relationship :DataChunk.chunkIdtoFullTextSearch.chunkId.
UsertoQuery : ○ Relationship :One-to-Many ○ Description :Ausercansubmitmultiplequeries. ○ Relationship :User.userIdtoQuery.userId.

3.5DetailedAttributes

User ○ userId:Uniqueidentifierfortheuser(PrimaryKey). ○ username:Usernamechosenbytheuser. ○ email:User'semailaddress. ○ passwordHash:Hashedpasswordfortheuser. ○ createdAt:Timestampwhentheuseraccountwascreated.
IngestionScript ○ scriptId:Uniqueidentifierfortheingestionscript(PrimaryKey). ○ userId:ForeignkeylinkingtotheUserentity(ForeignKey). ○ scriptName:Nameoftheingestionscript. ○ scriptContent:Contentoftheingestionscript. ○ createdAt:Timestampwhenthescriptwascreated. ○ updatedAt:Timestampwhenthescriptwaslastupdated.
DataChunk ○ chunkId:Uniqueidentifierforthedatachunk(PrimaryKey). ○ scriptId:ForeignkeylinkingtotheIngestionScriptentity(Foreign Key). ○ chunkContent:Contentofthedatachunk. ○ s3Key:KeyoftheS3objectwherethedatachunkisstored. ○ createdAt:Timestampwhenthedatachunkwascreated.
FullTextSearch ○ searchId:Uniqueidentifierforthesearchresult(PrimaryKey). ○ queryId:ForeignkeylinkingtotheQueryentity(ForeignKey). ○ chunkId:ForeignkeylinkingtotheDataChunkentity(ForeignKey). ○ relevanceScore:Scoreindicatingtherelevanceofthedatachunktothe query. ○ createdAt:Timestampwhenthesearchresultwascreated.
Query ○ queryId:Uniqueidentifierforthequery(PrimaryKey). ○ userId:ForeignkeylinkingtotheUserentity(ForeignKey). ○ queryText:Textoftheuser'squery. ○ createdAt:Timestampwhenthequerywassubmitted.

3.6Summary

ThissectionprovidesacomprehensiveoverviewoftheEntity-Relationship(ER)Diagramfor theRAGsystem.TheERdiagramclearlydefinestheentitiesandtheirrelationships, ensuringthatthedataiswell-organizedandthattherelationshipsbetweenentitiesare well-defined.Thisdiagramisacrucialtoolfordatabasedesignandhelpsinthedevelopment andmaintenanceoftheapplication.Thedetailedattributesandrelationshipsdescribedin thissectionprovideaclearunderstandingofhowdataisstructuredandmanagedwithinthe RAGsystem.

Section4:ClassDiagram

4.1Overview

Theclassdiagramprovidesadetailedviewofthecomponents,theirinterfaces,andthe relationshipsbetweenthemintheRAGsystem.Ithelpsinunderstandingthestructureofthe systemandhowdifferentcomponentsinteracttoachievethesystem'sobjectives.

4.2MainComponents

User
IngestionScript
DataChunk
FullTextSearch
Query
Security
DataIngestion
DataStorage
FullTextSearch
ChatInterface
WebApplication

4.3ClassDiagram +---------------------+| User | +---------------------+|IngestionScript | +---------------------+| DataChunk | +---------------------+|FullTextSearch | +---------------------+| Query | +---------------------+| Security | +---------------------+|-userId:String | +---------------------+|-scriptId:String | +---------------------+|-chunkId:String | +---------------------+|-searchId:String | +---------------------+|-queryId:String | +---------------------+|-userId:String | ||--username:email:StringString|| ||--userId:scriptName:StringString|| ||--scriptId:chunkContent:StringString|| ||--queryId:chunkId:StringString || ||--userId:queryText:StringString|| ||--username:email:StringString|| ||--passwordHash:createdAt:DateString|| ||--scriptContent:createdAt:DateString|| ||--s3Key:createdAt:StringDate|| ||--relevanceScore:createdAt:DateFloat|| ||--createdAt:createdAt:DateDate|| ||--createdAt:passwordHash:DateString| | +---------------------+|+createUser:User| +---------------------+|+createScript:IngestionScript+---------------------+||+createChunk:DataChunk+---------------------+||+search:List+---------------------+||+createQuery:Query+---------------------+| |+authenticate:Boolean| ||+getUser:User | |+updateScript:IngestionScript||+getChunk:DataChunk||+getSearchResults:List||+getQuery:Query| |+authorize:Boolean +---------------------+ +---------------------+ +---------------------+ +---------------------+ +---------------------+ +---------------------+ +---------------------+| DataIngestion | +---------------------+| DataStorage | +---------------------+| FullTextSearch | +---------------------+| ChatInterface | +---------------------+| WebApplication| +---------------------+ +---------------------+|-ingestionLambda:Lambda|+---------------------+|-s3Client:S3 | |+---------------------+-searchLambda:Lambda| +---------------------+|-chatLambda:Lambda| |+---------------------+-amplify:Amplify| |+---------------------+-appsync:AppSync| |+---------------------+-dynamoDBClient:DynamoDB|+---------------------+|-s3Client:S3 | |+---------------------+-appsync:AppSync| |-+---------------------+cognito:Cognito| ||++ingestData:chunkData:voidvoid|| ||++storeData:getData:DataChunk|void | ||++performSearch:indexData:voidvoid|| ||++handleQuery:generateResponse:voidvoid| |||++authenticateUser:createUser:voidvoid| | |+---------------------++executeScript:void| |+---------------------++listData:List|+---------------------+|+searchS3:void | +---------------------+|+displayChat:void| |+---------------------++createScript:void|

4.4DetailedExplanationofClassesandInterfaces

User ○ Attributes : ■ userId:Uniqueidentifierfortheuser. ■ username:Usernamechosenbytheuser. ■ email:User'semailaddress. ■ passwordHash:Hashedpasswordfortheuser.

■ createdAt:Timestampwhentheuseraccountwascreated.
○ Methods :
■ createUser:Createsanewuser.
■ getUser:RetrievesauserbyID.

IngestionScript ○ Attributes : ■ scriptId:Uniqueidentifierfortheingestionscript. ■ userId:ForeignkeylinkingtotheUserentity. ■ scriptName:Nameoftheingestionscript. ■ scriptContent:Contentoftheingestionscript. ■ createdAt:Timestampwhenthescriptwascreated. ■ updatedAt:Timestampwhenthescriptwaslastupdated. ○ Methods : ■ createScript:Createsanewingestionscript. ■ updateScript:Updatesanexistingingestionscript.
DataChunk ○ Attributes : ■ chunkId:Uniqueidentifierforthedatachunk. ■ scriptId:ForeignkeylinkingtotheIngestionScriptentity. ■ chunkContent:Contentofthedatachunk. ■ s3Key:KeyoftheS3objectwherethedatachunkisstored. ■ createdAt:Timestampwhenthedatachunkwascreated. ○ Methods : ■ createChunk:Createsanewdatachunk. ■ getChunk:RetrievesadatachunkbyID. ■ listData:Listsalldatachunks.
FullTextSearch ○ Attributes : ■ searchId:Uniqueidentifierforthesearchresult. ■ queryId:ForeignkeylinkingtotheQueryentity. ■ chunkId:ForeignkeylinkingtotheDataChunkentity. ■ relevanceScore:Scoreindicatingtherelevanceofthedatachunk tothequery. ■ createdAt:Timestampwhenthesearchresultwascreated. ○ Methods : ■ performSearch:Performsafull-textsearch. ■ getSearchResults:Retrievessearchresults. ■ indexData:Indexesdataforsearch. ■ searchS3:SearchesdatainS3.
Query ○ Attributes : ■ queryId:Uniqueidentifierforthequery. ■ userId:ForeignkeylinkingtotheUserentity.

■ queryText:Textoftheuser'squery.
■ createdAt:Timestampwhenthequerywassubmitted.
○ Methods :
■ createQuery:Createsanewquery.
■ getQuery:RetrievesaquerybyID.

Security ○ Attributes : ■ userId:Uniqueidentifierfortheuser. ■ username:Usernamechosenbytheuser. ■ email:User'semailaddress. ■ passwordHash:Hashedpasswordfortheuser. ■ createdAt:Timestampwhentheuseraccountwascreated. ○ Methods : ■ authenticate:Authenticatesauser. ■ authorize:Authorizesauserforspecificactions.
DataIngestion ○ Attributes : ■ ingestionLambda:AWSLambdafunctionfordataingestion. ■ appsync:AWSAppSyncfordataaccess. ○ Methods : ■ ingestData:Ingestsdatausingacustomscript. ■ chunkData:Chunkstheingesteddata. ■ executeScript:Executesacustomingestionscript.
DataStorage ○ Attributes : ■ s3Client:AWSS3clientfordatastorage. ■ dynamoDBClient:AWSDynamoDBclientformetadatastorage. ○ Methods : ■ storeData:StoresdatainS3. ■ getData:RetrievesdatafromS3. ■ listData:ListsalldatainS3.
FullTextSearch ○ Attributes : ■ searchLambda:AWSLambdafunctionforfull-textsearch. ■ s3Client:AWSS3clientfordataretrieval. ○ Methods : ■ performSearch:Performsafull-textsearch. ■ indexData:Indexesdataforsearch. ■ searchS3:SearchesdatainS3.
ChatInterface ○ Attributes : ■ chatLambda:AWSLambdafunctionforhandlingchatqueries. ■ appsync:AWSAppSyncfordataaccess.

○ Methods :
■ handleQuery:Handlesauserquery.
■ generateResponse:Generatesaresponseusingagenerative
model.
■ displayChat:Displaysthechatinterface.

WebApplication ○ Attributes : ■ amplify:AWSAmplifyforfront-enddevelopment. ■ cognito:AmazonCognitoforuserauthenticationandauthorization. ○ Methods : ■ authenticateUser:Authenticatesauser. ■ createUser:Createsanewuser. ■ createScript:Createsanewingestionscript. ■ displayChat:Displaysthechatinterface.

4.5ExampleCodeSnippets

DataIngestionClass import boto3 fromaws_lambda_powertools import Logger,Tracer

logger = Logger() tracer = Tracer()

classDataIngestion: def__init__(self,ingestion_lambda,appsync): self.ingestion_lambda = ingestion_lambda self.appsync= appsync

defingest_data(self,script_content):
# Executethe custom ingestionscript
response = self.ingestion_lambda.invoke(
FunctionName='IngestionLambda',
Payload=json.dumps({'script_content':script_content})
)
logger.info("Dataingestioncompleted")
return response

defchunk_data(self, data):
# Chunkthe data
chunks = [data[i:i+100]fori inrange(0, len(data),100)]
return chunks

defexecute_script(self, script_id):
# Executethe ingestionscript
response = self.appsync.execute_query(
query='executeScript',
variables={'scriptId':script_id}

)
logger.info("Scriptexecuted")
return response

FullTextSearchClass import boto3 import json import flexsearch

s3= boto3.client('s3')

classFullTextSearch: def__init__(self,search_lambda,s3_client): self.search_lambda = search_lambda self.s3_client= s3_client

defperform_search(self, query):

Performfull-textsearch

response = self.search_lambda.invoke( FunctionName='FullTextSearchLambda', Payload=json.dumps({'query':query}) ) search_results= json.loads(response['Payload'].read().decode('utf-8'))['body'] return search_results

defindex_data(self, data):
# Indexdatafor search
index =flexsearch.Index()
for chunkindata:
index.add(chunk)
return index

defsearch_s3(self, query):

Search datainS3

bucket_name = 'your-bucket-name' key_prefix ='data/chunked_data.json' response = self.s3_client.list_objects_v2(Bucket=bucket_name, Prefix=key_prefix) data= [] for objin response.get('Contents',[]): key= obj['Key'] chunk= self.s3_client.get_object(Bucket=bucket_name, Key=key)['Body'].read().decode('utf-8') data.append(chunk) return data

ChatInterfaceClass import boto3

import json

s3= boto3.client('s3') lambda_client =boto3.client('lambda')

classChatInterface: def__init__(self,chat_lambda,appsync): self.chat_lambda = chat_lambda self.appsync= appsync

defhandle_query(self, query):

Handle userquery

response = self.chat_lambda.invoke( FunctionName='ChatLambda', Payload=json.dumps({'query':query}) ) search_results= json.loads(response['Payload'].read().decode('utf-8'))['body'] return search_results

defgenerate_response(self, search_results):
# Generate responseusing agenerative model(e.g., GPT-3)
# Placeholder forgenerative model
response = f"Results:{search_results}"
return response

defdisplay_chat(self):
# Displaythe chatinterface
# Thismethod wouldinteract withthefront-endto displaythechat
pass

4.6Summary

ThissectionprovidesacomprehensiveanddetailedclassdiagramfortheRAGsystem, includingthemaincomponentsandtheirinterfaces.Theclassdiagramandthe accompanyingcodesnippetsprovideaclearviewofthestructureofthesystemandhow differentcomponentsinteracttoachievethesystem'sobjectives.Eachclassrepresentsa specificcomponent,andthemethodsdefinetheinteractionsandoperationswithinand betweenthesecomponents.Thissetupensuresarobustandscalablearchitectureforthe RAGsystem.

Section5:ProjectStructure

5.1DirectoryStructure

TheprojectstructurefortheAWSAmplify-basedRAGsystemisorganizedtoensureclarity andmaintainability.Hereisthedirectorystructure:

rag-system/ ├── amplify/ │ ├──backend/ │ │ ├── api/ │ │ │ └──ragApi/ │ │ ├── auth/ │ │ │ └──ragAuth/ │ │ ├── function/ │ │ │ ├──dataIngestionLambda/ │ │ │ ├──fullTextSearchLambda/ │ │ │ ├──chatLambda/ │ │ ├── storage/ │ │ │ ├──dataStorageS3/ │ │ │ └──metadataDynamoDB/ │ ├──#current-cloud-backend/ │ └──#amplify-meta/ ├── src/ │ ├──components/ │ │ ├── CodeEditor.js │ │ ├── Chat.js │ │ └── Auth.js │ ├──graphql/ │ │ ├── queries.js │ │ ├── mutations.js │ │ └── subscriptions.js │ ├──App.js │ ├──App.css │ ├──index.js │ ├──index.css │ └──setupTests.js ├── amplify/ │ └──teams/ ├── package.json ├── package-lock.json └── README.md

5.2InitializationandConfiguration

InitializetheProject : ○ CreateanewReactapplicationusingCreateReactApp. ○ InitializetheprojectwithAWSAmplify.

npx create-react-apprag-system cdrag-system amplifyinit

InstallDependencies : ○ InstallnecessarydependenciesforAWSAmplifyandotherrequired packages.

npm installaws-amplify @aws-amplify/ui-react

5.3AWSServicesConfiguration

AddAWSServices : ○ Use theAmplifyCLI toadd thenecessaryAWS services.

amplifyadd api amplifyadd auth amplifyadd function amplifyadd storage

ConfigureServices : ○ API(AppSync) : ■ CreateaGraphQLAPIanddefinetheschema.

amplifyadd api

■ Schemafile(amplify/backend/api/ragApi/schema.graphql):

typeUser@model @auth(rules:[{allow: owner}]) { id:ID! username:String! email: String! passwordHash:String! createdAt:AWSDateTime! }

typeIngestionScript@model @auth(rules:[{ allow:owner }]){ id:ID! userId:ID! scriptName: String! scriptContent:String! createdAt:AWSDateTime! updatedAt:AWSDateTime! }

typeDataChunk@model @auth(rules:[{allow: owner}]) { id:ID! scriptId:ID! chunkContent:String! s3Key: String! createdAt:AWSDateTime! }

typeQuery@model @auth(rules:[{ allow:owner }]){ id:ID! userId:ID! queryText:String! createdAt:AWSDateTime! }

typeFullTextSearch@model @auth(rules:[{allow: owner}]) { id:ID! queryId:ID! chunkId:ID! relevanceScore:Float! createdAt:AWSDateTime! }

○ Auth(Cognito) :
■ ConfigureCognitoforuserauthentication.

amplifyadd auth

○ Function(Lambda) :
■ CreatethefollowingLambdafunctions:
■ dataIngestionLambda
■ fullTextSearchLambda
■ chatLambda

amplifyadd function

○ Storage(S3andDynamoDB) :
■ ConfigureS3for datastorageand DynamoDBfor metadata
storage.

amplifyadd storage

5.4LambdaFunctionCode

DataIngestionLambda : ○ FunctionCode :

import boto3 import json

s3= boto3.client('s3')

def lambda_handler(event,context): script_content=event['script_content'] bucket_name= 'your-bucket-name' key= 'data/chunked_data.json'

#Chunk thedata
chunks= [script_content[i:i+100]for i inrange(0,len(script_content), 100)]

#Store chunks inS3 fori,chunk inenumerate(chunks): s3.put_object(Bucket=bucket_name, Key=f'{key}/chunk_{i}.json', Body=json.dumps(chunk))

return{
'statusCode': 200,
'body':'Data ingestedand chunkedsuccessfully'
}

FullTextSearchLambda : ○ FunctionCode :

import boto3 import json import flexsearch

s3= boto3.client('s3')

def lambda_handler(event,context): query= event['query'] bucket_name= 'your-bucket-name' key_prefix= 'data/chunked_data.json'

#Initialize flexsearch
index= flexsearch.Index()

#Retrieve and indexdatachunks fromS3 response= s3.list_objects_v2(Bucket=bucket_name, Prefix=key_prefix) forobj inresponse.get('Contents',[]): key = obj['Key'] data= s3.get_object(Bucket=bucket_name, Key=key)['Body'].read().decode('utf-8') chunks = json.loads(data) for chunkinchunks: index.add(chunk)

#Perform full-textsearch
results= index.search(query)

return{

'statusCode': 200,
'body':json.dumps(results)
}

ChatLambda : ○ FunctionCode :

import boto3 import json

s3= boto3.client('s3') lambda_client =boto3.client('lambda')

def lambda_handler(event,context): query= event['query']

#CallFull-TextSearch Lambda
response= lambda_client.invoke(
FunctionName='fullTextSearchLambda',
Payload=json.dumps({'query': query})
)
search_results=json.loads(response['Payload'].read().decode('utf-8'))['body']

#Generate response usinga generativemodel (e.g.,GPT-3)
defgenerate_response(search_results):
# Placeholder forgenerative model
return f"Results:{search_results}"

response= generate_response(search_results)

return{
'statusCode': 200,
'body':response
}

5.5Front-EndImplementation

Components : ○ CodeEditor.js : ■ ComponentCode :

import React, {useState } from'react'; import { API,Auth}from'aws-amplify';

constCodeEditor = ()=>{ const[scriptContent, setScriptContent]= useState('');

consthandleSubmit= async ()=>{
try{
const user= awaitAuth.currentAuthenticatedUser();

const response= await API.post('ragApi','/ingest', {
body: {
scriptContent,
userId:user.attributes.sub
}
});
console.log('Data ingestedand chunkedsuccessfully',response);
}catch (error){
console.error('Error ingestingdata', error);
}
};

return (

setScriptContent(e.target.value)} /> IngestData

); };

export defaultCodeEditor;

○ Chat.js :
■ ComponentCode :

import React, {useState } from'react'; import { API,Auth}from'aws-amplify';

constChat= ()=> { const[query,setQuery]= useState(''); const[response, setResponse]= useState('');

consthandleSubmit= async ()=>{
try{
const user= awaitAuth.currentAuthenticatedUser();
const response= await API.post('ragApi','/chat', {
body: {
query,
userId:user.attributes.sub
}
});
setResponse(response);
}catch (error){
console.error('Error handlingquery', error);
}
};

return (
<div>
<input value={query} onChange={(e)=> setQuery(e.target.value)}/>
<button onClick={handleSubmit}>SendQuery</button>

{response}

); };

export defaultChat;

○ Auth.js :
■ ComponentCode :

import React, {useState } from'react'; import { Auth}from'aws-amplify';

constAuthComponent = ()=>{ const[username, setUsername]= useState(''); const[password, setPassword]= useState(''); const[isAuthenticated,setIsAuthenticated]= useState(false);

consthandleLogin = async()=> {
try{
await Auth.signIn(username, password);
setIsAuthenticated(true);
}catch (error){
console.error('Error signingin',error);
}
};

consthandleLogout= async ()=>{
try{
await Auth.signOut();
setIsAuthenticated(false);
}catch (error){
console.error('Error signingout',error);
}
};

return (

{isAuthenticated? ( Logout ) : (

setUsername(e.target.value)} placeholder="Username"/> setPassword(e.target.value)} placeholder="Password"type="password" /> Login

)}

); };

export defaultAuthComponent;

App.js : ○ ComponentCode :

import Reactfrom'react'; import { withAuthenticator} from'@aws-amplify/ui-react'; import { Auth,API,graphqlOperation } from'aws-amplify'; import { listUsers}from'./graphql/queries'; import CodeEditorfrom'./components/CodeEditor'; import Chatfrom'./components/Chat'; import AuthComponentfrom'./components/Auth';

constApp = ()=>{ const[isAuthenticated,setIsAuthenticated]= useState(false);

constcheckAuth= async() =>{
try{
await Auth.currentAuthenticatedUser();
setIsAuthenticated(true);
}catch (error){
setIsAuthenticated(false);
}
};

React.useEffect(()=> {
checkAuth();
},[]);

return ( <divclassName="App"> {isAuthenticated &&(

)} ); };

export defaultwithAuthenticator(App);

GraphQLQueriesandMutations : ○ queries.js : ■ FileContent :

export constlistUsers= /GraphQL/ ` queryListUsers{ listUsers{

items { id username email passwordHash createdAt } } } `;

export constgetScript= /GraphQL/ queryGetScript($id:ID!){ getScript(id:$id){ id userId scriptName scriptContent createdAt updatedAt } };

export constgetChunk = /GraphQL/queryGetChunk($id: ID!){ getChunk(id:$id){ id scriptId chunkContent s3Key createdAt } };

export constgetQuery = /GraphQL/queryGetQuery($id: ID!){ getQuery(id:$id){ id userId queryText createdAt } };

export constgetSearchResult =/* GraphQL*/` queryGetSearchResult($id: ID!){ getSearchResult(id:$id){ id

queryId chunkId relevanceScore createdAt } } `;

○ mutations.js :
■ FileContent :

export constcreateUser =/* GraphQL*/mutationCreateUser($input: CreateUserInput!){ createUser(input:$input){ id username email passwordHash createdAt } };

export constcreateScript= /*GraphQL */mutationCreateScript($input: CreateScriptInput!){ createScript(input:$input){ id userId scriptName scriptContent createdAt updatedAt } };

export constcreateChunk = /GraphQL/mutationCreateChunk($input:CreateChunkInput!) { createChunk(input:$input){ id scriptId chunkContent s3Key createdAt } };

export constcreateQuery = /GraphQL/` mutationCreateQuery($input:CreateQueryInput!) { createQuery(input:$input){ id

userId queryText createdAt } } `;

export constcreateSearchResult = /GraphQL/mutationCreateSearchResult($input: CreateSearchResultInput!) { createSearchResult(input:$input){ id queryId chunkId relevanceScore createdAt } };

○ subscriptions.js :
■ FileContent :

export constonCreateScript= /GraphQL/ subscriptionOnCreateScript{ onCreateScript{ id userId scriptName scriptContent createdAt updatedAt } };

export constonCreateChunk = /GraphQL/subscriptionOnCreateChunk { onCreateChunk{ id scriptId chunkContent s3Key createdAt } };

export constonCreateQuery = /GraphQL/` subscriptionOnCreateQuery { onCreateQuery{ id userId

queryText createdAt } } `;

export constonCreateSearchResult =/* GraphQL*/subscriptionOnCreateSearchResult{ onCreateSearchResult{ id queryId chunkId relevanceScore createdAt } };

5.6PushtheChanges

Finally,pushthechangestodeployyourapplication:

amplifypush

Summary

Thissectionprovidesacomprehensiveandcompleteoverviewoftheprojectstructurefor theAWSAmplify-basedRAGsystem.Itcoversthedirectorystructure,initializationand configuration,AWSservicesconfiguration,Lambdafunctioncode,andfront-end implementation.Eachcomponentandfileisdetailedtoensureaclearandmaintainable projectstructure,enablingthedevelopmentofarobustandscalableRAGsystem.

Section6:FunctionalSpecification

6.1UserManagement

6.1.1UserRegistration

● Function :Allowuserstoregisterwithausername,email,andpassword.
● Inputs :Username,Email,Password.
● Outputs :UserID.
● API :POST /register

ExampleRequest : { "username": "john_doe", "email":"john@example.com", "password": "securepassword123" }

ExampleResponse : { "userId":"12345" }

6.1.2UserAuthentication

● Function :Authenticateuserswiththeiremailandpassword.
● Inputs :Email,Password.
● Outputs :JWTToken.
● API :POST /login

ExampleRequest : { "email":"john@example.com", "password": "securepassword123" }

ExampleResponse : { "token":"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9..." }

6.1.3UserInformationRetrieval

● Function :RetrieveuserinformationbyuserID.
● Inputs :UserID.
● Outputs :Userdetails(username,email,etc.).
● API :GET /user/{userId}

Example Request : { "userId":"12345" }

ExampleResponse : { "userId":"12345", "username": "john_doe", "email":"john@example.com", "createdAt":"2023-10-01T10:00:00Z" }

6.2DataIngestion

6.2.1CustomIngestionScriptCreation

● Function :Allowuserstocreateandsavecustomingestionscripts.
● Inputs :UserID,ScriptName,ScriptContent.
● Outputs :ScriptID.
● API :POST /scripts

ExampleRequest : { "userId":"12345", "scriptName":"My IngestionScript", "scriptContent": "defingest_data(data):... " }

ExampleResponse : { "scriptId": "67890" }

6.2.2DataIngestionExecution

● Function :ExecuteacustomingestionscripttoprocessandstoredatainS3.
● Inputs :ScriptID,Data.

● Outputs :Ingestionstatus.
● API :POST /ingest

ExampleRequest : { "scriptId": "67890", "data":"Somedatato ingest" }

ExampleResponse : { "status":"Dataingested andchunked successfully" }

6.2.3DataChunking

● Function :SplittheingesteddataintochunksandstoretheminS3.
● Inputs :Data.
● Outputs :ListofchunkIDs.
● API :POST /chunk

ExampleRequest : { "data":"Somedatato chunk" }

ExampleResponse : { "chunkIds": ["12345","67890"] }

6.3DataStorage

6.3.1DataStorageinS3

● Function :StoredatachunksinS3.
● Inputs :ChunkID,ChunkContent,S3Key.
● Outputs :Storagestatus.
● API :POST /store

ExampleRequest : { "chunkId":"12345",

"chunkContent":"Some chunkeddata", "s3Key":"data/chunk_0.json" } ExampleResponse : { "status":"Datastored successfully" }

6.3.2DataRetrievalfromS3

● Function :RetrievedatachunksfromS3.
● Inputs :S3Key.
● Outputs :ChunkContent.
● API :GET /data/{s3Key}

ExampleRequest : { "s3Key":"data/chunk_0.json" }

ExampleResponse : { "chunkContent":"Some chunkeddata" }

6.4Full-TextSearch

6.4.1Full-TextSearchExecution

● Function :Performafull-textsearchoverthedatastoredinS3.
● Inputs :Query.
● Outputs :Listofrelevantdatachunks.
● API :POST /search

ExampleRequest : { "query":"search term" }

ExampleResponse : { "results":[ {

"chunkId": "12345", "chunkContent": "Somechunkeddata", "relevanceScore": 0.95 }, { "chunkId": "67890", "chunkContent": "Anotherchunk ofdata", "relevanceScore": 0.85 } ] }

6.4.2DataIndexing

● Function :Indexdatachunksforefficientsearch.
● Inputs :Datachunks.
● Outputs :Indexingstatus.
● API :POST /index

ExampleRequest : { "data":["Some chunkeddata", "Anotherchunk ofdata"] }

ExampleResponse : { "status":"Dataindexedsuccessfully" }

6.5ChatInterface

6.5.1ChatQuerySubmission

Function :Allowuserstosubmitchatqueries.

Inputs :UserID,QueryText.

Outputs :QueryID.

API :POST /query

ExampleRequest : { "userId":"12345", "queryText":"Whatis theweatherliketoday?" }

ExampleResponse : { "queryId":"67890" }

6.5.2ChatResponseGeneration

● Function :Generateresponsestouserqueriesusingagenerativemodel.
● Inputs :QueryID.
● Outputs :Response.
● API :GET /response/{queryId}

ExampleRequest : { "queryId":"67890" }

ExampleResponse : { "response": "Theweatherissunnyand warmtoday." }

6.6SecurityandAuthentication

6.6.1UserAuthentication

● Function :AuthenticateusersusingCognito.
● Inputs :Email,Password.
● Outputs :JWTToken.
● API :POST /login

6.6.2UserAuthorization

● Function :Authorizeusersforspecificactionsbasedontheirrolesandpermissions.
● Inputs :JWTToken,Action.
● Outputs :Authorizationstatus.
● API :POST /authorize

ExampleRequest : { "token":"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...", "action":"createScript" }

ExampleResponse : { "status":"Authorized" }

6.7ExampleCodeSnippets

6.7.1UserRegistration import boto3 fromaws_lambda_powertools import Logger,Tracer

logger = Logger() tracer = Tracer()

def lambda_handler(event,context): cognito= boto3.client('cognito-idp') user_pool_id= 'your-user-pool-id' client_id='your-client-id'

username= event['username']
email= event['email']
password= event['password']

try:
response = cognito.sign_up(
ClientId=client_id,
Username=username,
Password=password,
UserAttributes=[
{'Name': 'email', 'Value':email}
]
)
logger.info("Userregistered successfully")
return {
'statusCode':200,
'body':json.dumps({'userId': response['UserSub']})
}
exceptExceptionas e:
logger.error(f"Error registeringuser: {e}")
return {
'statusCode':500,
'body':json.dumps({'error':str(e)})
}

6.7.2DataIngestion import boto3

import json

s3= boto3.client('s3')

def lambda_handler(event,context): script_content=event['script_content'] bucket_name= 'your-bucket-name' key= 'data/chunked_data.json'

#Chunk thedata
chunks= [script_content[i:i+100]for i inrange(0,len(script_content), 100)]

#Store chunks inS3 fori,chunk inenumerate(chunks): s3.put_object(Bucket=bucket_name, Key=f'{key}/chunk_{i}.json', Body=json.dumps(chunk))

return{
'statusCode': 200,
'body':'Data ingestedand chunkedsuccessfully'
}

6.7.3Full-TextSearch import boto3 import json import flexsearch

s3= boto3.client('s3')

def lambda_handler(event,context): query= event['query'] bucket_name= 'your-bucket-name' key_prefix= 'data/chunked_data.json'

#Initialize flexsearch
index= flexsearch.Index()

#Perform full-textsearch
results= index.search(query)

return{
'statusCode': 200,
'body':json.dumps(results)
}

6.7.4ChatResponseGeneration import boto3 import json

s3= boto3.client('s3') lambda_client =boto3.client('lambda')

def lambda_handler(event,context): query= event['query']

#CallFull-TextSearch Lambda
response= lambda_client.invoke(
FunctionName='fullTextSearchLambda',
Payload=json.dumps({'query': query})
)
search_results=json.loads(response['Payload'].read().decode('utf-8'))['body']

#Generate response usinga generativemodel (e.g.,GPT-3)
defgenerate_response(search_results):
# Placeholder forgenerative model
return f"Results:{search_results}"

response= generate_response(search_results)

return{
'statusCode': 200,
'body':response
}

6.8Summary

ThisfunctionalspecificationprovidesadetailedoverviewoftheAWSAmplify-basedRAG system'scapabilities,includingusermanagement,dataingestion,storage,full-textsearch, chatinterface,andsecurity.Eachfunctionisdescribedwithitsinputs,outputs,and correspondingAPIendpoints.Examplecodesnippetsareprovidedtoillustratethe implementationofkeyfunctionalities.Thisspecificationensuresthatthesystemis well-definedandreadyfordevelopmentanddeployment.

Section7:Non-FunctionalSpecification

7.1Performance

7.1.1ResponseTime

● UserAuthentication :< 1 second
○ Description :Thesystemshouldauthenticateuserswithin 1 secondto
ensureasmoothloginexperience.
○ API :POST /login

Example : { "email":"john@example.com", "password": "securepassword123" }

● DataIngestion :< 5 secondsforsmalldatasets(< 1 MB)
○ Description :Thesystemshouldcompletedataingestionandchunkingwithin
5 secondsforsmalldatasetstoensurearesponsiveuserexperience.
○ API :POST /ingest

Example : { "scriptId": "67890", "data":"Somedatato ingest" }

● Full-TextSearch :< 2 secondsformoderatedatasets(< 100 MB)
○ Description :Thesystemshouldperformfull-textsearchandreturnresults
within 2 secondsformoderatedatasetstoensurefastandaccuratesearch
results.
○ API :POST /search

Example : { "query":"search term" }

● ChatResponseGeneration :< 3 seconds
○ Description :Thesystemshouldgenerateandreturnchatresponseswithin 3
secondstoensureanaturalandresponsivechatexperience.
○ API :GET /response/{queryId}

Example : { "queryId":"67890"

}

7.1.2Throughput

● APIEndpoints :Handleatleast 100 requestspersecond
○ Description :Thesystemshouldbeabletohandleatleast 100 requestsper
secondtoensureitcanscaletohandleagrowingnumberofusers.
○ Monitoring :UseAWSCloudWatchtomonitorAPIrequestratesandsetup
alertsforhightraffic.

7.2Scalability

7.2.1HorizontalScaling

● LambdaFunctions :Automaticallyscaletohandleincreasedload
○ Description :AWSLambdafunctionswillautomaticallyscalebasedonthe
numberofincomingrequests,ensuringthesystemcanhandlespikesin
traffic.
○ Configuration :SetupAWSLambdaconcurrencylimitsandauto-scaling
policiestoensureoptimalperformance.
● AppSync :Handleagrowingnumberofconcurrentconnections
○ Description :AWSAppSyncwillautomaticallyscaletohandleagrowing
numberofconcurrentconnections,ensuringthesystemcanhandlealarge
numberofusers.
○ Configuration :SetupAppSynctouseAmazonDynamoDBandAmazonS3
tomanagedataandmetadataefficiently.
● S3andDynamoDB :Scaletostoreandretrievelargeamountsofdata
○ Description :AmazonS3andAmazonDynamoDBwillautomaticallyscaleto
handlelargeamountsofdata,ensuringthesystemcanstoreandretrieve
dataefficiently.
○ Configuration :SetupS3andDynamoDBtouseautomaticscalingand
partitioningtohandlelargedatasets.

7.2.2VerticalScaling

● LambdaFunctions :Increasememoryandtimeoutsettingsasneeded
○ Description :AWSLambdafunctionscanbeconfiguredwithhighermemory
andtimeoutsettingstohandlemorecomplexandresource-intensivetasks.
○ Configuration :AdjustthememoryandtimeoutsettingsintheLambda
functionconfigurationtooptimizeperformance.
● AppSync :Increaserequestlimitsandthroughputsettings
○ Description :AWSAppSynccanbeconfiguredwithhigherrequestlimitsand
throughputsettingstohandlemorerequestsanddata.
○ Configuration :SetupAppSynctousehigherrequestlimitsandthroughput
settingstoensureoptimalperformance.

7.3Security

7.3.1DataEncryption

● AtRest :S3andDynamoDBdataencryptedusingAWSKMS
○ Description :AlldatastoredinAmazonS3andAmazonDynamoDBwillbe
encryptedatrestusingAWSKeyManagementService(KMS).
○ Configuration :EnableencryptionatrestforS3bucketsandDynamoDB
tablesusingAWSKMS.
● InTransit :AllAPIrequestsandresponsesencryptedusingHTTPS
○ Description :AllAPIrequestsandresponseswillbeencryptedusingHTTPS
toensuredataintegrityandconfidentiality.
○ Configuration :UseAWSAppSyncandAPIGatewaywithHTTPStosecure
allAPIendpoints.

7.3.2AuthenticationandAuthorization

● Cognito :Secureuserauthenticationandauthorization
○ Description :AmazonCognitowillmanageuserauthenticationand
authorization,ensuringsecureaccesstothesystem.
○ Configuration :SetupCognitotohandleusersign-up,sign-in,andaccess
control.
● IAMRoles :ControlaccesstoAWSresourcesusingIAMroles
○ Description :AWSIdentityandAccessManagement(IAM)roleswillcontrol
accesstoAWSresources,ensuringthatonlyauthorizedusersandservices
canaccessthedata.
○ Configuration :SetupIAMrolesandpoliciestocontrolaccesstoS3,
DynamoDB,Lambda,andotherAWSservices.

7.3.3InputValidation

● APIEndpoints :Validateallinputstopreventinjectionattacks
○ Description :AllAPIendpointswillvalidateinputstopreventSQLinjection,
cross-sitescripting(XSS),andothersecurityvulnerabilities.
○ Configuration :Useinputvalidationlibrariesandframeworkstoensuredata
integrityandsecurity.
● LambdaFunctions :Sanitizeandvalidatedatabeforeprocessing
○ Description :AWSLambdafunctionswillsanitizeandvalidatedatabefore
processingtopreventsecurityvulnerabilities.
○ Configuration :UsedatavalidationandsanitizationlibrariesinLambda
functionstoensuredataintegrityandsecurity.

7.4Reliability

7.4.1ErrorHandling

● APIEndpoints :Returnappropriateerrorcodesandmessages
○ Description :AllAPIendpointswillreturnappropriateHTTPerrorcodesand
messagestohelpusersanddevelopersunderstandandresolveissues.

Example : { "statusCode":400, "message":"Invalid input: emailisrequired" }

● LambdaFunctions :Logerrorsandhandleexceptionsgracefully
○ Description :AWSLambdafunctionswilllogerrorsandhandleexceptions
gracefullytoensurethesystemremainsstableandresponsive.
○ Configuration :UseAWSCloudWatchtologerrorsandsetuperrorhandling
andretrypoliciesinLambdafunctions.

7.4.2BackupandRecovery

● S3 :Enableversioningandcross-regionreplication
○ Description :AmazonS3willenableversioningandcross-regionreplication
toensuredataisbackedupandrecoverableincaseofdataloss.
○ Configuration :Enableversioningandcross-regionreplicationforS3buckets
toensuredataintegrityandavailability.
● DynamoDB :Enablepoint-in-timerecoveryandbackups
○ Description :AmazonDynamoDBwillenablepoint-in-timerecoveryand
backupstoensuredataisrecoverableincaseofdataloss.
○ Configuration :Enablepoint-in-timerecoveryandsetupautomatedbackups
forDynamoDBtablestoensuredataintegrityandavailability.

7.5Maintainability

7.5.1CodeQuality

● CodeReviews :Regularcodereviewstoensurequalityandbestpractices
○ Description :Regularcodereviewswillbeconductedtoensurecodequality
andadherencetobestpractices.
○ Configuration :Setupcodereviewprocessesandtoolstoensurecode
qualityandconsistency.
● Testing :Comprehensivetestingforallcomponents
○ Description :Comprehensivetesting,includingunittests,integrationtests,
andend-to-endtests,willbeconductedtoensurethesystemisreliableand
bug-free.
○ Configuration :SetuptestingframeworksandCI/CDpipelinestoautomate
testinganddeployment.

7.5.2Documentation

● APIDocumentation :DetaileddocumentationforallAPIendpoints
○ Description :DetaileddocumentationwillbeprovidedforallAPIendpointsto
helpdevelopersunderstandandusethesystem.

○ Configuration :UsetoolslikeSwaggerorAPIGatewaytogenerateand
publishAPIdocumentation.
● CodeComments :Clearandconcisecommentsinthecode
○ Description :Clearandconcisecommentswillbeincludedinthecodeto
ensureitiseasytounderstandandmaintain.
○ Configuration :Followbestpracticesforcodecommentingand
documentation.

7.5.3MonitoringandLogging

● CloudWatch :MonitorAPIandLambdafunctionperformance
○ Description :AWSCloudWatchwillbeusedtomonitorAPIandLambda
functionperformance,ensuringthesystemisrunningsmoothly.
○ Configuration :SetupCloudWatchtomonitormetricsandsetupalertsfor
performanceissues.
● X-Ray :Traceanddebugrequestsacrossservices
○ Description :AWSX-Raywillbeusedtotraceanddebugrequestsacross
services,ensuringthesystemisreliableandperformant.
○ Configuration :SetupX-Raytotraceanddebugrequestsandsetup
dashboardstovisualizeperformancemetrics.

7.6Conclusion

Thenon-functionalspecificationoftheAWSAmplify-basedRAGsystemensuresthatthe systemisnotonlyfunctionalbutalsoperformswell,scalesefficiently,issecure,reliable,and maintainable.Byadheringtothesenon-functionalrequirements,thesystemwillprovidea robustanduser-friendlyexperience,makingitavaluabletoolforvariousapplications, includingdataanalysis,contentmanagement,customersupport,andresearchand development.Thissectionprovidesacomprehensiveoverviewofthenon-functional requirements,settingthestageforthedetailedimplementationanddeploymentofthe system.

Section8:End-to-EndUserJourney

8.1UserRegistrationandAuthentication

Step1:UserRegistration

● Action :TheusernavigatestotheRAGsystem'sregistrationpage.
● Inputs :Username,Email,Password.
● Output :Aconfirmationmessageindicatingsuccessfulregistration.
● API :POST /register

Example : { "username": "john_doe", "email":"john@example.com", "password": "securepassword123" }

Step2:UserAuthentication

● Action :Theusernavigatestotheloginpageandenterstheiremailandpassword.
● Inputs :Email,Password.
● Output :AJWTtokenandaconfirmationmessageindicatingsuccessfullogin.
● API :POST /login

Example : { "email":"john@example.com", "password": "securepassword123" }

8.2DataIngestion

Step3:CreateaCustomIngestionScript

● Action :Theusernavigatestothe"IngestionScripts"sectionandclickson"Create
NewScript."
● Inputs :ScriptName,ScriptContent.
● Output :Aconfirmationmessageindicatingthescripthasbeensaved.
● API :POST /scripts

Example : { "scriptId": "67890", "scriptName":"My IngestionScript", "scriptContent": "defingest_data(data):... " }

Step4:IngestDataUsingtheScript

● Action :Theusernavigatestothe"DataIngestion"section,selectsascript,and
uploadsorentersthedatatobeingested.
● Inputs :ScriptID,Data.
● Output :Aconfirmationmessageindicatingthedatahasbeeningestedandchunked.
● API :POST /ingest

Example : { "scriptId": "67890", "data":"Somedatato ingest" }

8.3DataStorage

Step5:ViewStoredData

● Action :Theusernavigatestothe"DataStorage"sectiontoviewthestoreddata
chunks.
● Inputs :None.
● Output :Alistofdatachunksandtheirmetadata.
● API :GET /data

Example : [ { "chunkId":"12345", "scriptId":"67890", "chunkContent":"Somechunked data", "s3Key":"data/chunk_0.json", "createdAt":"2023-10-01T12:00:00Z" } ]

8.4Full-TextSearch

Step6:PerformaFull-TextSearch

● Action :Theusernavigatestothe"Search"sectionandentersaquery.
● Inputs :QueryText.
● Output :Alistofrelevantdatachunksandtheirrelevancescores.
● API :POST /search

Example : { "query":"search term" }

8.5ChatInterface

Step7:SubmitaChatQuery

● Action :Theusernavigatestothe"Chat"sectionandentersaquery.
● Inputs :QueryText.
● Output :Aconfirmationmessageindicatingthequeryhasbeensubmitted.
● API :POST /query

Example : { "userId":"12345", "queryText":"Whatis theweatherliketoday?" }

Step8:ReceiveaChatResponse

● Action :Theuserwaitsforaresponsefromthesystem.
● Inputs :None.
● Output :Ageneratedresponsebasedonthequeryandthestoreddata.
● API :GET /response/{queryId}

Example : { "queryId":"67890", "response": "Theweatherissunnyand warmtoday." }

8.6UserManagement

Step9:ViewandManageUserInformation

● Action :Theusernavigatestothe"UserProfile"sectiontoviewandmanagetheir
accountinformation.
● Inputs :None.

● Output :Userdetails(username,email,etc.).
● API :GET /user/{userId}

Example : { "userId":"12345", "username": "john_doe", "email":"john@example.com", "createdAt":"2023-10-01T10:00:00Z" }

Step10:UpdateUserInformation

● Action :Theuserupdatestheiraccountinformation(e.g.,email).
● Inputs :UpdatedUserInformation.
● Output :Aconfirmationmessageindicatingtheinformationhasbeenupdated.
● API :PUT /user/{userId}

Example : { "userId":"12345", "email":"newemail@example.com" }

Step11:LogOut

● Action :Theuserclicksthe"LogOut"button.
● Inputs :None.
● Output :Aconfirmationmessageindicatingtheuserhasbeenloggedout.
● API :POST /logout

Example : { "message":"User loggedout successfully" }

8.7VisualRepresentationoftheUserJourney

8.7.1UserRegistrationandAuthentication

LoginPage +--------------------------------------------------------------+ | RAG System | | | | [ Home] [ IngestionScripts] [ DataStorage] [ Search ] | | [ Chat] [ UserProfile] [ LogOut ] | +--------------------------------------------------------------+ | | | [ Login] | | [ Email:[] ] | | [ Password:[]] | | [ [Login ] [ SignUp] [ForgotPassword?] ] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

8.7.2DataIngestion

IngestionScriptsPage +--------------------------------------------------------------+ | RAG System | | | | [ Home] [ IngestionScripts] [ DataStorage] [ Search ] | | [ Chat] [ UserProfile] [ LogOut ] | +--------------------------------------------------------------+ | | | [ IngestionScripts] | | [ [Create New Script ]] | | [ ScriptName: MyIngestionScript ] | | [ CreatedAt:2023-10-01T11:00:00Z ] | | [ [View] [Edit] [Delete ] ] | | [ ScriptName: AnotherScript ] | | [ CreatedAt:2023-10-02T12:00:00Z ] | | [ [View] [Edit] [Delete ] ] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

DataIngestionPage +--------------------------------------------------------------+ | RAG System | | | | [ Home] [ IngestionScripts] [ DataStorage] [ Search ] | | [ Chat] [ UserProfile] [ LogOut ] | +--------------------------------------------------------------+ | | | [ DataIngestion] | | [ SelectScript: [My IngestionScript] ] | | [ Data:[_________________________________]] | | [ [Ingest Data] [ BacktoScripts ]] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

8.7.3DataStorage

8.7.4Full-TextSearch

SearchPage +--------------------------------------------------------------+ | RAG System | | | | [ Home] [ IngestionScripts] [ DataStorage] [ Search ] | | [ Chat] [ UserProfile] [ LogOut ] | +--------------------------------------------------------------+ | | | [ Search] | | [ Query:[_________________________________] ] | | [ [Search ] ] | | [ Results:] | | [ -Somechunked data(Relevance:0.95) ] | | [ -Another chunkofdata(Relevance: 0.85)] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

8.7.5ChatInterface

ChatPage +--------------------------------------------------------------+ | RAG System | | | | [ Home] [ IngestionScripts] [ DataStorage] [ Search ] | | [ Chat] [ UserProfile] [ LogOut ] | +--------------------------------------------------------------+ | | | [ Chat] | | [ [_________________________________________]] | | [ [Send] ] | | [ ChatHistory:] | | [ -User: Whatisthe weatherliketoday? ] | | [ -RAG System:The weatherissunny andwarmtoday. ] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

8.7.6UserManagement

UserProfilePage +--------------------------------------------------------------+ | RAG System | | | | [ Home] [ IngestionScripts] [ DataStorage] [ Search ] | | [ Chat] [ UserProfile] [ LogOut ] | +--------------------------------------------------------------+ | | | [ UserProfile] | | [ Username:john_doe] | | [ Email:john@example.com ] | | [ CreatedAt:2023-10-01T10:00:00Z ] | | [ [EditProfile ] [ LogOut ] ] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

EditProfilePage +--------------------------------------------------------------+ | RAG System | | | | [ Home] [ IngestionScripts] [ DataStorage] [ Search ] | | [ Chat] [ UserProfile] [ LogOut ] | +--------------------------------------------------------------+ | | | [ EditProfile] | | [ Username:[john_doe]] | | [ Email:[john@example.com] ] | | [ [SaveChanges ] [ Cancel] ] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

8.8Summary

Thisend-to-enduserjourneyprovidesadetailedstep-by-stepguideforusingtheAWS Amplify-basedRAGsystem.Eachstepisdesignedtobeintuitiveanduser-friendly,ensuring aseamlessexperiencefortheuser.Thevisualrepresentationsoftheuserinterfaceandthe APIexampleshelpillustratetheinteractionsanddataflowwithinthesystem.Thisjourney coversallthenecessaryfeatures,fromuserregistrationandauthenticationtodataingestion,

storage,full-textsearch,andchatinteractions,makingitacomprehensiveguideforusersof theRAGsystem.

Section9:UI/UXDesign

9.1ApplicationShell

Theapplicationshellprovidesaconsistentandintuitiveuserinterfaceacrossallpages.It includesanavigationbar,maincontentarea,andfooter.

9.1.1Header(NavigationBar)

ASCII-ArtUIDesign +--------------------------------------------------------------+ | RAG System | | | | [ Home] [ IngestionScripts] [ DataStorage] [ Search ] | | [ Chat] [ UserProfile] [ LogOut ] | +--------------------------------------------------------------+

Description

● RAGSystem :Applicationtitle,styledwithalargerfontandadifferentcolortostand
out.
● NavigationLinks :Eachlinkisstyledwithaconsistentfontandcolor.Theactivelink
ishighlighted(e.g.,boldordifferentcolor)toindicatethecurrentpage.
● UserProfile :Adropdownmenuthatincludesoptionslike"EditProfile"and"Log
Out".

9.1.2MainContentArea

ASCII-ArtUIDesign +--------------------------------------------------------------+ | | | [ MainContentArea] | | | | [ Page-specificcontentgoeshere] | | | +--------------------------------------------------------------+

VisualDesign

+--------------------------------------------------------------+ | | | [ MainContentArea] | | | | [ Page-specificcontentgoeshere] | | | +--------------------------------------------------------------+

Description

● MainContentArea :Thisareadynamicallydisplaysthecontentoftheselectedpage
(e.g.,home,ingestionscripts,datastorage,search,chat,userprofile).
● Page-specificContent :Eachpagewillhaveitsownuniquecontent,butthelayout
willbeconsistentacrossallpagestoensureacohesiveuserexperience.

9.1.3Footer

ASCII-ArtUIDesign +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

VisualDesign +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

Description

● Copyright :Styledwithasmallerfontandasubtlecolortoblendintothebackground.
● Links :Styledwithaconsistentfontandcolor.Hovereffectscanbeaddedtoimprove
interactivity.

9.2ExamplePages

9.2.1HomePage

ASCII-ArtUIDesign +--------------------------------------------------------------+ | [ RAGSystem ] [ Home][ IngestionScripts] [ DataStorage]| | [ Search] [ Chat] [ UserProfile] [Log Out ] | +--------------------------------------------------------------+ | | | [ Welcometothe RAGSystem!] | | [ Thissystemallows you toingest custom data,perform | | full-textsearch,andinteract witha chatinterface.] | | [ Getstartedby creatinganingestionscript orexploring | | thedatastorage. ] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

VisualDesign +--------------------------------------------------------------+ | [ RAGSystem ] [ Home][ IngestionScripts] [ DataStorage]| | [ Search] [ Chat] [ UserProfile] [Log Out ] | +--------------------------------------------------------------+ | | | [ Welcometothe RAGSystem!] | | [ Thissystemallows you toingest custom data,perform | | full-textsearch,andinteract witha chatinterface.] | | [ Getstartedby creatinganingestionscript orexploring | | thedatastorage. ] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

Description

● WelcomeMessage :AbriefintroductiontotheRAGsystemanditscapabilities.
● GetStarted :Guidanceonhowtogetstartedwiththesystem.

9.2.2IngestionScriptsPage

ASCII-ArtUIDesign +--------------------------------------------------------------+ | [ RAGSystem ] [ Home][ IngestionScripts] [ DataStorage]| | [ Search] [ Chat] [ UserProfile] [Log Out ] | +--------------------------------------------------------------+ | | | [ IngestionScripts] | | [ [Create New Script ]] | | [ ScriptName: MyIngestionScript ] | | [ CreatedAt:2023-10-01T11:00:00Z ] | | [ [View] [Edit] [Delete ] ] | | [ ScriptName: AnotherScript ] | | [ CreatedAt:2023-10-02T12:00:00Z ] | | [ [View] [Edit] [Delete ] ] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

VisualDesign +--------------------------------------------------------------+ | [ RAGSystem ] [ Home][ IngestionScripts] [ DataStorage]| | [ Search] [ Chat] [ UserProfile] [Log Out ] | +--------------------------------------------------------------+ | | | [ IngestionScripts] | | [ [Create New Script ]] | | [ ScriptName: MyIngestionScript ] | | [ CreatedAt:2023-10-01T11:00:00Z ] | | [ [View] [Edit] [Delete ] ] | | [ ScriptName: AnotherScript ] | | [ CreatedAt:2023-10-02T12:00:00Z ] | | [ [View] [Edit] [Delete ] ] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

Description

● CreateNewScript :Buttontonavigatetothescriptcreationpage.
● ScriptList :Listofexistingingestionscriptswiththeirnamesandcreationdates.
● View :Buttontoviewthedetailsofascript.

● Edit :Buttontoeditthedetailsofascript.
● Delete :Buttontodeleteascript.

9.2.3DataStoragePage

Description

● ChunkList :ListofstoreddatachunkswiththeirIDs,scriptIDs,content,S3keys,
andcreationdates.
● View :Buttontoviewthedetailsofachunk.
● Delete :Buttontodeleteachunk.

9.2.4SearchPage

ASCII-ArtUIDesign +--------------------------------------------------------------+ | [ RAGSystem ] [ Home][ IngestionScripts] [ DataStorage]| | [ Search] [ Chat] [ UserProfile] [Log Out ] | +--------------------------------------------------------------+ | | | [ Search] | | [ Query:[_________________________________] ] | | [ [Search ] ] | | [ Results:] | | [ -Somechunked data(Relevance:0.95) ] | | [ -Another chunkofdata(Relevance: 0.85)] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

VisualDesign +--------------------------------------------------------------+ | [ RAGSystem ] [ Home][ IngestionScripts] [ DataStorage]| | [ Search] [ Chat] [ UserProfile] [Log Out ] | +--------------------------------------------------------------+ | | | [ Search] | | [ Query:[_________________________________] ] | | [ [Search ] ] | | [ Results:] | | [ -Somechunked data(Relevance:0.95) ] | | [ -Another chunkofdata(Relevance: 0.85)] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

Description

● Query :Inputfieldforthesearchquery.
● Search :Buttontoperformthesearch.
● Results :Listofsearchresultswiththerelevantdatachunksandtheirrelevance
scores.

9.2.5ChatPage

ASCII-ArtUIDesign +--------------------------------------------------------------+ | [ RAGSystem ] [ Home][ IngestionScripts] [ DataStorage]| | [ Search] [ Chat] [ UserProfile] [Log Out ] | +--------------------------------------------------------------+ | | | [ Chat] | | [ [_________________________________________]] | | [ [Send] ] | | [ ChatHistory:] | | [ -User: Whatisthe weatherliketoday? ] | | [ -RAG System:The weatherissunny andwarmtoday. ] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

VisualDesign +--------------------------------------------------------------+ | [ RAGSystem ] [ Home][ IngestionScripts] [ DataStorage]| | [ Search] [ Chat] [ UserProfile] [Log Out ] | +--------------------------------------------------------------+ | | | [ Chat] | | [ [_________________________________________]] | | [ [Send] ] | | [ ChatHistory:] | | [ -User: Whatisthe weatherliketoday? ] | | [ -RAG System:The weatherissunny andwarmtoday. ] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

Description

● InputField :Textareafortheusertoentertheirquery.
● Send :Buttontosubmitthequery.
● ChatHistory :Displayofthechathistory,includinguserqueriesandsystem
responses.

9.2.6UserProfilePage

ASCII-ArtUIDesign +--------------------------------------------------------------+ | [ RAGSystem ] [ Home][ IngestionScripts] [ DataStorage]| | [ Search] [ Chat] [ UserProfile] [Log Out ] | +--------------------------------------------------------------+ | | | [ UserProfile] | | [ Username:john_doe] | | [ Email:john@example.com ] | | [ CreatedAt:2023-10-01T10:00:00Z ] | | [ [EditProfile ] [ LogOut ] ] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

VisualDesign +--------------------------------------------------------------+ | [ RAGSystem ] [ Home][ IngestionScripts] [ DataStorage]| | [ Search] [ Chat] [ UserProfile] [Log Out ] | +--------------------------------------------------------------+ | | | [ UserProfile] | | [ Username:john_doe] | | [ Email:john@example.com ] | | [ CreatedAt:2023-10-01T10:00:00Z ] | | [ [EditProfile ] [ LogOut ] ] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

Description

● Username :Displayedusernameoftheuser.
● Email :Displayedemailoftheuser.
● CreatedAt :Displayeddateandtimewhentheuseraccountwascreated.
● EditProfile :Buttontonavigatetotheprofileeditingpage.
● LogOut :Buttontologouttheuser.

9.3ResponsiveDesign

TheRAGsystemisdesignedtoberesponsive,ensuringaseamlessuserexperienceacross differentdevices,includingdesktops,tablets,andmobilephones.

9.3.1MobileView

ASCII-ArtUIDesign +--------------------------------------------------------------+ | [ RAGSystem ] | | [ ☰] | +--------------------------------------------------------------+ | | | [ MainContentArea] | | [ Page-specificcontentgoeshere] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

VisualDesign +--------------------------------------------------------------+ | [ RAGSystem ] | | [ ☰] | +--------------------------------------------------------------+ | | | [ MainContentArea] | | [ Page-specificcontentgoeshere] | | | +--------------------------------------------------------------+ | [ Copyright© 2023 RAG System.All rights reserved.] | | [ ContactUs] [ PrivacyPolicy ] [ Termsof Service] | +--------------------------------------------------------------+

Description

● HamburgerMenu :Thenavigationlinksarehiddenbehindahamburgermenuicon
tosavespace.
● MainContentArea :Thecontentisadjustedtofitthesmallerscreensize,with
elementsstackedvertically.
● Footer :Thefooterissimplifiedandremainsatthebottomofthepage.

9.4CodeSnippets

9.4.1Header(NavigationBar)Component import Reactfrom'react'; import { Link}from'react-router-dom'; import { Auth}from'aws-amplify';

constHeader = ()=>{ consthandleLogout= async ()=>{ try{ await Auth.signOut(); window.location.href = '/login'; }catch (error){ console.error('Error signingout',error); } };

return (

RAGSystem

Home
Ingestion Scripts
DataStorage
Search
Chat
User Profile
Log Out

); };

export defaultHeader;

9.4.2MainContentAreaComponent import Reactfrom'react'; import { Route,Switch } from'react-router-dom'; import Homefrom'./components/Home'; import IngestionScripts from'./components/IngestionScripts'; import DataStorage from'./components/DataStorage'; import Search from'./components/Search'; import Chatfrom'./components/Chat';

import UserProfile from'./components/UserProfile';

constMainContent = ()=>{ return (

); };

export defaultMainContent;

9.4.3FooterComponent import Reactfrom'react';

constFooter = ()=>{ return (

); };

export defaultFooter;

9.5Conclusion

TheUI/UXdesignoftheRAGsystemensuresaconsistentandintuitiveuserexperience acrossallpages.Theapplicationshell,includingtheheader,maincontentarea,andfooter, providesacohesiveanduser-friendlyinterface.Theexamplepagesdemonstratethelayout andfunctionalityofkeyfeatures,suchasdataingestion,storage,search,chat,anduser management.Theresponsivedesignensuresthatthesystemisaccessibleandusableon variousdevices,fromdesktopstomobilephones.Thissectionprovidesacomprehensive

overviewoftheUI/UXdesign,settingthestagefortheimplementationanduserexperience oftheRAGsystem.

luke-b/documentation-test

RAG (Retrieval-AugmentedGeneration) Systemwith

AWSAmplify:ADetailedWalkthroughfrom

ArchitecturetoUserInterface

ContentsList

DetailedSubjects

Section1:Introduction

1.3KeyFeatures

1.4UseCases

1.5SystemArchitecture

1.6Conclusion

Section2:SystemArchitecture

2.8Diagrams

2.9Summary

Section3:Entity-Relationship(ER)Diagram

3.5DetailedAttributes

3.6Summary

Section4:ClassDiagram

4.5ExampleCodeSnippets

Performfull-textsearch

Search datainS3

Handle userquery

4.6Summary

Section5:ProjectStructure

Summary

Section6:FunctionalSpecification

6.7ExampleCodeSnippets

6.8Summary

Section7:Non-FunctionalSpecification

7.6Conclusion

Section8:End-to-EndUserJourney

8.7VisualRepresentationoftheUserJourney

8.8Summary

Section9:UI/UXDesign

9.4CodeSnippets

RAGSystem

9.5Conclusion