Implements a full-stack RAG pipeline using LangChain.js, Google Gemini, and Supabase for vector storage. Automates document ingestion from Markdown and Text files to provide accurate, context-aware AI responses.
Tech Stack
JavaScriptAI, ML & Data
Why langchain-rag-chatbot?
• Production-ready architecture
• Built-in conversation memory
• Modern web interface
Limitations
• Requires Supabase setup
• Gemini API dependency
• Complex RAG tuning
9/7/2025
Last Update
0
Forks
0
Issues
Unknown
License
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