I will fix your rag pipeline or langgraph ai agent

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T
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Atta Ur Rehman

About this gig

Your RAG pipeline or AI agent worked in testing but gives wrong answers in real use? I find the root cause and fix it.


I build production RAG and multi-agent systems in regulated financial services, where wrong answers and data leaks aren't acceptable.


Problems I fix:

- Retrieval that misses the right passage (chunking, embeddings, metadata filters)

- Hallucinations and answers without sources

- LangGraph or LangChain agents that loop, skip tools or lose state

- Vector database issues in Qdrant, FAISS or Chroma

- Slow or expensive pipelines


How I work:

1. Reproduce the problem with your code, logs and failing questions

2. Find the root cause and agree the fix with you

3. Fix it and prove it on a before/after test set of your own questions

4. Document every change


Stack: Python, LangChain, LangGraph, Qdrant, FAISS, FastAPI, Docker, Ollama, OpenAI, Claude. I can also debug n8n workflows and MCP tool connections around your agent.


Not sure which package fits? Message me your stack and an example of a bad answer before ordering.

Get to know Atta Ur Rehman

Atta Ur Rehman

AI engineer and solution architect for RAG and AI agents

4.5(3)
  • FromPakistan
  • Member sinceJun 2020
  • Avg. response time1 hour
  • Last delivery6 days
  • Languages

    Urdu, English, Hindi
AI engineer building private RAG systems, AI agents and AI voice receptionists that work in real use, not just in demos. By day I build AI systems for a regulated bank on private infrastructure, so data privacy, guardrails and audit logging are my defaults. As a freelancer I've built a fully offline document research assistant for an enterprise client and delivered a code audit and recovery plan for an AI business platform. Stack: Python, LangGraph, LangChain, Qdrant, FAISS, FastAPI, Docker, Ollama, Vapi, Retell, n8n. Tell me the problem and I'll tell you honestly if AI is the right fix.

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