I will build ai agents and rag chatbots with python and langgraph

I build production AI agents and RAG (retrieval-augmented generation) systems that answer from your own documents, with sources, and take real actions through your APIs, not just demo chatbots.

WHAT YOU GET

- Document Q&A chatbot grounded in your data, with source citations

- LangGraph agents with tool calling (CRM, databases, REST APIs, Zendesk, etc.)

- Guardrails: the agent declines out-of-scope questions and hands off to a human when unsure

- Human-in-the-loop approval for sensitive actions

- Conversation memory, structured logging and error handling

- Clean FastAPI backend, Docker-ready, with setup notes

WHY ME

- Shipped production AI in healthcare and enterprise (CRM, ERP, OCR), serving 3,000+ users

- Built a live voice AI agent handling real customer calls

- Work in Python, FastAPI, LangGraph, pgvector, OpenAI, Claude and Gemini APIs

- Code is clean, tested and documented so your team can maintain it

PROCESS

1. Short discovery call and requirements check

2. Architecture proposal (stack, costs, timeline)

3. Build in milestones with demo updates

4. Testing, deployment help and handover

Send me your use case and data sources and I will reply with a plan the same day.