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.

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/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