Featured
LangChainAdvancedData ProcessingFree
RAG Document Q&A System
⬇️ 980 downloads
About this template
A production-ready RAG system built with LangChain and Python. Upload any combination of PDFs, Word documents, or URLs — the system chunks them, embeds them into Pinecone, and lets you query your entire document library with natural language.
Every answer includes inline source citations so you can verify accuracy.
What you get
- ✓Full Python codebase (GitHub repo access)
- ✓requirements.txt with pinned versions
- ✓Pinecone setup guide
- ✓.env template
- ✓Jupyter notebook for testing
- ✓README with deployment options
Requirements
- Python 3.10+
- Pinecone account (free tier works)
- Anthropic or OpenAI API key
- Basic Python knowledge
#rag#langchain#python#ai#documents
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PlatformLangChain
ComplexityAdvanced
CategoryData Processing
Downloads980