I will build ai document extraction for PDF invoices and forms

I build production-ready RAG (Retrieval-Augmented Generation) chatbots that answer questions with verifiable citations from your documents not hallucinated guesses.

What makes this different: before building your system, I benchmark candidate vector databases using statistically validated methods (not just "which one feels faster"), so your retrieval accuracy is measured, not assumed. This comes from real thesis-level research comparing vector DB performance for RAG pipelines.

You get:

Citation-backed answers grounded in your actual documents

FastAPI backend, production-ready code

Benchmarked vector DB selection report

Clean, documented source code

Docker setup for easy deployment

Ideal for: customer support bots, internal knowledge assistants, documentation Q&A systems, or any use case where "the AI made it up" is not an acceptable answer.

I work with OpenAI, Claude, and open-source LLMs, and integrate with Pinecone, Chroma, Weaviate, or pgvector depending on your scale and budget.

Send me a message with your document type and use case before ordering I'll confirm scope and realistic delivery time so there are no surprises.