production-rag

Production-ready RAG framework for Python — multi-tenant chatbots with streaming, tool calling, agent mode (LangGraph), vector search (FAISS), and persistent MongoDB memory. Built on LangChain.

Build a Production RAG System with Python, LangChain, and ChromaDB Build ShopBot from scratch — a production RAG assistant that answers from retrieved evidence, not training memory. Ten chapters, one complete system.

DepthAPI is a production-ready FastAPI backend for tunable cognitive depth RAG. It enables precise control over response depth with intelligent multi-LLM routing, hybrid retrieval, and strong citations — perfect for enterprise knowledge bases and technical AI assistants.

Production RAG API for Dubai Real Estate - Cross-lingual (EN → AR MSA + Dubai dialect) + Enterprise Observability - n8n 2.33.4 + Gemini 2.5 Flash + Supabase pgvector - 4.4s latency, 0.822 similarity

Machine Learning Engineer at NeuroWebLabs | B.S. Software Engineering student at FAST NUCES | Multi-Agent Systems & Production RAG Architect

Polish legal RAG. Production-grade Q&A over Polish law documents. HyDE + hybrid search (pgvector, BM25, RRF) + Cohere rerank + semantic cache. Live at lexaro.pl.

Production-grade Corrective RAG system in LangGraph — scores retrieved chunks before generation, falls back to web search when needed, and filters context to sentence level.

RAG-powered document Q&A system with FastAPI and Streamlit

🏭 RAG AI Factory: Production-ready RAG pipeline and factory patterns

Five-service monorepo for WH-347 payroll compliance. React 19 · Vercel AI SDK · FastAPI × 2. 253 tests, 0 failures. Every decision cites the statute.