A modular implementation of Retrieval-Augmented Generation supporting Gemini, ChatGPT, and Llama models. It utilizes FAISS for efficient local vector storage and similarity search across private datasets.
Tech Stack
Jupyter NotebookAI, ML & Data
Why RAG-With-LangChain-And-FAISS?
• Supports multiple LLM providers
• Local vector storage with FAISS
• Modular LangChain architecture
Limitations
• Basic CLI interface
• Manual parameter tuning
• Limited to Python environment
10/15/2025
Last Update
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Forks
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Issues
Apache-2.0
License
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