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Himanshu Punetha's Projects

azure-open-ai-embeddings-qna icon 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.

chatgpt-memory icon chatgpt-memory

Allows to scale the ChatGPT API to multiple simultaneous sessions with infinite contextual and adaptive memory powered by GPT and Redis datastore.

chatgpt-retrieval-plugin icon chatgpt-retrieval-plugin

The ChatGPT Retrieval Plugin lets you easily search and find personal or work documents by asking questions in everyday language.

daft icon daft

Distributed DataFrame for Python designed for the cloud, powered by Rust

dalai icon dalai

The simplest way to run LLaMA on your local machine

dapr_python_redis icon dapr_python_redis

This repo uses python flask based REST-API microservices, redis and dapr runtime to enable publish-subscribe pattern. I have included docker-compose in it to run it as full fledged app in the system including all components. Kubernetes deployment is also included with sample yml files

guestacc icon guestacc

GuesStay - IIITD Guest Room Allocation (Android Application)

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

llama icon llama

Inference code for LLaMA models

llama_index icon llama_index

LlamaIndex (GPT Index) is a data framework for your LLM applications

llm-document-chat icon llm-document-chat

Using LlamaIndex, Redis, and OpenAI to chat with PDF documents. Supplementary material for blog post (link to come)

llmchat icon llmchat

A full-stack Webui implementation of Large Language model, such as ChatGPT or LLaMA.

medrep icon 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)

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