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fb5b684 (docs: UTF-8 README with Spaces metadata; mark *.md as text; ignore README.bak.md) title: FastAPI RAG API emoji: 🧠 colorFrom: indigo colorTo: blue sdk: fastapi app_file: app/api.py pinned: false

FastAPI RAG API

Minimal backend for RAG (FastAPI + FAISS + Sentence-Transformers). Open /docs for the interactive API.

Live

API (HF Space): https://huggingface.co/spaces/HamidOmarov/FastAPI-RAG-API
Dashboard (HF Space): https://huggingface.co/spaces/HamidOmarov/RAG-Dashboard

What it does

Ask questions about your PDFs using vector search (FAISS) + sentence embeddings. Robust to numeric/table-heavy docs, with optional AZ→EN translation and fallbacks.

Quick test

<<<<<<< HEAD curl -F "[email protected]" https:///upload_pdf curl -H "Content-Type: application/json" -d '{"question":"What is the document about?","top_k":5}' https:///ask_question

Ops

GET /health • GET /stats • GET /get_history • POST /reset_index

Stack

FastAPI · sentence-transformers · FAISS · pypdf · Hugging Face Spaces

curl -F "[email protected]" https://<API>/upload_pdf
curl -H "Content-Type: application/json" -d '{"question":"What is the document about?","top_k":5}' https://<API>/ask_question
>>>>>>> fb5b684 (docs: UTF-8 README with Spaces metadata; mark *.md as text; ignore README.bak.md)

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