I will build a production ready rag system integrated with your llm

Are your users getting wrong answers from your AI? The problem isn't the LLM it's that it doesn't know your data.

I build RAG (Retrieval-Augmented Generation) systems that connect your LLM directly to your documents, policies, or knowledge base so it answers from your content, not from guesswork.

What I deliver:

Ingestion pipeline: your PDFs, docs, or text chunked, embedded, and stored

Retrieval layer: semantic search with pgvector + FAISS re-ranking

LLM response grounded in your actual data, with source traceability

Clean FastAPI endpoints your frontend or app can call immediately

Docker-ready, fully configured, production-grade from day one

Why work with me:

I'm NVIDIA-certified in Building RAG Agents with LLMs and Harvard CS50-certified in AI with Python. I've architected a dual-pipeline RAG system (CRAG + LangGraph ReAct agent) for a real airline platform not a tutorial project.

Before you order:

Message me with your use case. I'll tell you honestly which package fits, what the right stack is, and whether RAG is even the right solution for your problem.