varunon9/rag-langchain-nodejs
Getting started with RAG system using Langchain in Node.js. This project uses OpenAI for embedding and Pinecone for Vector DB.
This project helps Node.js developers quickly set up a 'Retrieval-Augmented Generation' (RAG) system. It takes your documents (like PDFs) and user questions, then uses a language model to provide answers enriched by the information in those documents. It's designed for developers building AI-powered applications that need accurate, context-aware responses from their own data.
No commits in the last 6 months.
Use this if you are a Node.js developer looking for a starter kit to build a conversational AI or Q&A system that can answer questions based on your specific documents.
Not ideal if you are an end-user looking for a ready-to-use application, or if you are not comfortable with Node.js development and API keys.
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14
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6
Language
JavaScript
License
MIT
Category
Last pushed
Aug 24, 2024
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