amazon-bedrock
There are 105 repositories under amazon-bedrock topic.
gofireflyio/aiac
Artificial Intelligence Infrastructure-as-Code Generator.
aws-samples/aws-genai-llm-chatbot
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
aws-samples/amazon-bedrock-samples
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
awslabs/generative-ai-cdk-constructs
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
aws-samples/AWS-First-GenAI-Journey
Welcome to the AWS First Generative AI Journey repository! This project serves as a comprehensive resource for individuals and organizations looking to explore the transformative capabilities of Generative AI using Amazon Web Services (AWS).
aws-samples/serverless-pdf-chat
LLM-powered document chat using Amazon Bedrock and AWS Serverless
build-on-aws/llm-rag-vectordb-python
Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databases, use RAG techniques, and showcase experiments with langchain and streamlit.
build-on-aws/bedrock-agents-streamlit
Creating Amazon Bedrock agents with Streamlit Framework
aws-samples/generative-ai-cdk-constructs-samples
This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.
aws-samples/text-to-sql-bedrock-workshop
This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.
aws-samples/aws-bedrock-with-rag-and-react
Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain
build-on-aws/amazon-bedrock-quick-start
Learn how to Quickly build Generative AI applications with Amazon Bedrock
aws-samples/serverless-genai-food-analyzer-app
Personalized nutritional app, serverless, tailored to your shopping and cooking needs, empowered by generative AI technology (Amazon Bedrock, Anthropic, Claude Haiku, Claude Sonnet) using AWS CDK on AWS
build-on-aws/amazon-bedrock-agents-quickstart
Learn how to quickly build Agents with Amazon Bedrock
aws-solutions-library-samples/guidance-for-natural-language-queries-of-relational-databases-on-aws
Demonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.
aws-samples/sample-connector-for-bedrock
Seamlessly invoke Amazon Bedrock or your custom models, enabling a smooth experience with AWS GenAI services.
awslabs/rhubarb
A Python framework for multi-modal document understanding with Amazon Bedrock
build-on-aws/gen-ai-workshop
Learn how to build generative AI applications on AWS using PartyRock, Amazon Bedrock, and Amazon Q
aws-samples/bedrock-kb-rag-workshop
Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
aws-samples/build-an-agentic-llm-assistant
Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless three-tier architecture.
build-on-aws/dotnet-fm-playground
.NET FM Playground is a .NET MAUI Blazor sample application showcasing how to leverage Amazon Bedrock from C# code. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API.
aws-samples/whats-new-summary-notifier
A generative AI application that summarizes the content of AWS What's New and other web articles in multiple languages, and delivers the summary to Slack or Microsoft Teams.
aws-samples/pace-genai-demos
This repository features three demos that can be effortlessly integrated into your AWS environment. They serve as a practical guide to leveraging AWS services for crafting a sophisticated Large Language Model (LLM) Generative AI, geared towards creating a responsive Question and Answer Bot and localizing content generation.
build-on-aws/building-gen-ai-whatsapp-assistant-with-amazon-bedrock-and-python
With this WhatsApp app, you can chat in any language with a Large language models (LLM) on Amazon Bedrock. Send voice notes and receive transcriptions. By making a minor change in the code, you can also send the transcription to the model.
aws-samples/multimodal-rag-on-slide-decks
'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker
build-on-aws/amazon-bedrock-custom-langchain-agent
Learn to build custom prompts and tools for LangChain agents
build-on-aws/python-fm-playground
Explore how you can use Amazon Bedrock with Python in a dynamic environment! It includes a FastAPI app and a Next.js frontend, perfect for learning and experimentation with generative AI on AWS.
aws-samples/uncovering-hidden-connections-in-unstructured-financial-data
Uncovering Hidden Connections in Unstructured Financial Data using Amazon Bedrock and Amazon Neptune
build-on-aws/amazon-bedrock-agents-outfit-assistant
This repo contains code for a demo of Amazon Bedrock Agents.
build-on-aws/bedrock-agents-webscraper
This repo provides guidance on setting up a bedrock agent to webscrape and internet search via action groups
aws-samples/function-calling-using-amazon-bedrock-anthropic-claude-3
Function calling using Amazon Bedrock with Anthropic Claude 3 foundation model
build-on-aws/rag-golang-postgresql-langchain
Implement RAG (using LangChain and PostgreSQL) for Go applications to improve the accuracy and relevance of LLM outputs
aws-samples/amazon-bedrock-ai-karaoke
Amazon Bedrock AI Karaoke is an interactive demonstration of Amazon Bedrock. Users complete the prompt with the microphone and choose the best response. Powered by Amazon Bedrock, Amazon Transcribe and Amazon ECS Anywhere.
build-on-aws/amazon-bedrock-go-sdk-examples
AWS Go SDK examples for Amazon Bedrock
abhirockzz/langchain-opensearch-rag
Vector databases for generative AI
aws-samples/reinvent2023-aim-329
How to build a chat assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedrock.