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naive-rag

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Production-grade Naive RAG pipeline built from scratch: PDF loading, recursive chunking, HuggingFace embeddings, FAISS (cosine) retrieval with score-threshold filtering, and grounded Groq LLM generation with source citations. Every design decision documented — from the FAISS cosine gotcha to empirical threshold tuning.

  • Updated Aug 5, 2026
  • Python

Explore the evolution of Retrieval-Augmented Generation (RAG) through three progressively sophisticated pipelines built with Langflow: Naive RAG (basic retrieval), Advanced RAG (semantic chunking + re-ranking + hallucination control), and Modular RAG (multi-store routing with LLM-powered query classification).

  • Updated May 9, 2026

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