📚 Chroma Knowledge Search — RAG System

AI-powered semantic document search platform enabling context-aware Q&A across uploaded PDFs/DOCX/TXT documents.

Uses

• 🧠 OpenAI — embeddings + LLM responses + moderation
• 🔎 ChromaDB — vector storage & retrieval
• ⚙️ FastAPI — secure backend RAG service (Deploy via Render)
• 🎛️ Streamlit — interactive upload + question UI
• 🔐 API Key Authentication
• 🗄️ SQLite metadata DB
• 🐳 Docker Compose — fully containerized
• 📦 Poetry — dependency management

🚀 Features

Capability	Status
Upload PDF, DOCX, TXT	✅
Automatic text extraction	✅
Chunking with embeddings	✅
Secure API-Key isolation	✅
Contextual answers (RAG)	✅
Safe content moderation	✅
Storage in ChromaDB	✅
Metadata persistence	✅
Multi-doc querying	✅
Containerized deployment	✅
Fully local execution	✅

▶️ Run the App

docker compose up --build

Service	URL
✅ App UI	http://localhost:8501
✅ Backend Docs	http://localhost:8000/docs
✅ Backend Health	http://localhost:8000/health
✅ ChromaDB REST	http://localhost:8001/api/v2/heartbeat