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title: Gemini Rag Fastapi Pro emoji: 🦀 colorFrom: purple colorTo: red sdk: docker pinned: false license: mit short_description: Document-based Q&A using FastAPI, FAISS, and Google Gemini
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gemini-rag-fastapi
gemini-rag-fastapi is a production-style backend service built with FastAPI that implements a Retrieval-Augmented Generation (RAG) pipeline. It ingests documents, builds vector indexes using FAISS, and answers user queries using Gemini models with grounded, citation-aware responses.
f775d6c (Initial commit)