Pinned Repositories
azure-open-ai-embeddings-qna
A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3 to extract the matching answer for the question.
azure-openai-elastic-vector-langchain
Azure Open AI 🌊1. Vector storage and 🦙 llamaindex 🔎2. Azure Search ChatGpt demo setup 3. Microsoft ♾️Semantic-Kernel with 🌌 Cosmos DB
chat-your-data
GuestAcc
GuesStay - IIITD Guest Room Allocation (Android Application)
medRep
A project in Information Retrieval which involves mapping Symptoms and Diseases from data obtained from Wikidata, Wikipedia and Disease Ontology to form a Knowledge Graph in Neo4j and then using it for predicting disease from symptoms (Using Cosine Similarity and TF-IDF)
movies_qna
Question Answering using OpenAI and Langchain. Includes preprocessing of cornell movie-dialog-corpus into a sql database (sqlite) and then using Langchain and openai to query from the database. Also includes usage of a vector database for indexing movie scripts and answering questions on them.
qachatbot
Question Answering chatbot created for IIITD site. It uses Solr for indexing the data and uses BERT trained model optionally for answering factoid questions. Scraping codes for scraping the data from iiitd website are included in scrape directory . BERT trained model (trained on SQUAD Dataset) is not included in the repository due to its huge size (~ 7 GB)
qna_knwgraph
Use langchain for extracting knowledge graph triples from raw text and then using openai for question answering on knowledge graph
redis-jupyter
Exploration of redis as a vector database for finding similarities. This is a follow up for https://github.com/hpunetha/weaviate-jupyter where I used weaviate for finding vector similarity. In this repo, I have configured Redis with similiar use-case, i.e to find similiar images by using vector similiarity search in redis via langchain.
weaviate-jupyter
Contains a docker compose file to run weaviate vector database along with a jupyter lab server. The jupyter notebook uses an image example using Resnet18 for creating vectors for some images and then adding the vectors to Weaviate for similarity search
hpunetha's Repositories
hpunetha/movies_qna
Question Answering using OpenAI and Langchain. Includes preprocessing of cornell movie-dialog-corpus into a sql database (sqlite) and then using Langchain and openai to query from the database. Also includes usage of a vector database for indexing movie scripts and answering questions on them.
hpunetha/redis-jupyter
Exploration of redis as a vector database for finding similarities. This is a follow up for https://github.com/hpunetha/weaviate-jupyter where I used weaviate for finding vector similarity. In this repo, I have configured Redis with similiar use-case, i.e to find similiar images by using vector similiarity search in redis via langchain.
hpunetha/weaviate-jupyter
Contains a docker compose file to run weaviate vector database along with a jupyter lab server. The jupyter notebook uses an image example using Resnet18 for creating vectors for some images and then adding the vectors to Weaviate for similarity search
hpunetha/azure-open-ai-embeddings-qna
A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3 to extract the matching answer for the question.
hpunetha/azure-openai-elastic-vector-langchain
Azure Open AI 🌊1. Vector storage and 🦙 llamaindex 🔎2. Azure Search ChatGpt demo setup 3. Microsoft ♾️Semantic-Kernel with 🌌 Cosmos DB
hpunetha/chat-your-data
hpunetha/chatgpt-retrieval-plugin
The ChatGPT Retrieval Plugin lets you easily search and find personal or work documents by asking questions in everyday language.
hpunetha/qna_knwgraph
Use langchain for extracting knowledge graph triples from raw text and then using openai for question answering on knowledge graph
hpunetha/chatgpt-memory
Allows to scale the ChatGPT API to multiple simultaneous sessions with infinite contextual and adaptive memory powered by GPT and Redis datastore.
hpunetha/dalai
The simplest way to run LLaMA on your local machine
hpunetha/docker-stacks
Ready-to-run Docker images containing Jupyter applications
hpunetha/falcon-7b-truss
hpunetha/kor
LLM(😽)
hpunetha/langchain
⚡ Building applications with LLMs through composability ⚡
hpunetha/langchain-tutorials
Overview and tutorial of the LangChain Library
hpunetha/llama
Inference code for LLaMA models
hpunetha/Llama-2-Open-Source-LLM-CPU-Inference
Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A
hpunetha/llama-recipes
Examples and recipes for Llama 2 model
hpunetha/llama_index
LlamaIndex (GPT Index) is a data framework for your LLM applications
hpunetha/LLM-Document-Chat
Using LlamaIndex, Redis, and OpenAI to chat with PDF documents. Supplementary material for blog post (link to come)
hpunetha/LLMChat
A full-stack Webui implementation of Large Language model, such as ChatGPT or LLaMA.
hpunetha/notebooks
Notebooks using the Hugging Face libraries 🤗
hpunetha/openai-cookbook
Examples and guides for using the OpenAI API
hpunetha/Promptify
Prompt Engineering | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
hpunetha/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
hpunetha/redis-langchain-chatbot
In this tutorial we build a conversational retail shopping assistant that helps customers find items of interest that are buried in a product catalog.
hpunetha/redis-openai-qna
A containerized Question & Answer demo with OpenAI, Streamlit, and Redis as a vector database.
hpunetha/redisearch-getting-started
A RediSearch tutorial to learn the basis of RediSearch module, with sample application in Java, Python and Node.js
hpunetha/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
hpunetha/weaviate-examples
Weaviate vector database – examples