marcosotomac/Retrieval-Augmented-Generation
A modular RAG pipeline that ingests docs from data/raw, chunks them, embeds with SentenceTransformers, stores in Chroma, reranks results, and answers via a configurable LLM backend (Transformers, OpenAI, Gemini, or NVIDIA) through a Typer CLI.
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Python
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Last pushed
Nov 03, 2025
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