RAG on codebases using treesitter and LanceDB
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Updated
Nov 17, 2024 - Python
RAG on codebases using treesitter and LanceDB
Harness the power of Retrieval-Augmented Generation with the Personal AI Assistant, an innovative tool designed to extract and synthesize information from web and PDF sources efficiently. This cutting-edge solution transforms complex data into concise, actionable insights, making it indispensable for researchers and professionals alike.
Make multiple Collections on Qdrant with Langchain & Openai
Detailed description given in the README
Langchain RAG AstraDB
Personal Project | A personal and private recommendation engine for the internet
A RAG chatbot which enables user to chat with their pdf documents
My personal repo for implementing LangChain concepts and build something meaningful
Document Retrieval System with Hybrid Embeddings using LangChain, OpenAI embeddings, FastEmbedSparse, ChatGroq.
Chat with any website using Python and Langchain
A website that summarizes PDFs into simple paragraphs based on user's queries_using Streamlit, LangChain, OpenAI, and ChromaDB Docker Image technologies.
An API that generates questions, answers, explanations, and sources based on a provided PDF textbook and specified content to learn.
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