I will fix debug and optimize your langchain rag or llm app

Built an AI app that worked on your machine but breaks the moment real users touch it? You are not alone. Most RAG and LLM apps fail on the same things: bad retrieval, hallucinated answers, slow responses, broken deployments, or vector search that returns junk.

I fix exactly that. I build production multi-agent RAG systems myself, including FinTex, a four-agent financial research system with source-cited answers, so I know where these pipelines actually break.

What I will handle:

Retrieval and chunking issues that return wrong context

Hallucinations and prompt problems

Slow or expensive API calls

Vector DB setup and tuning (Qdrant, FAISS)

Deployment and FastAPI errors

You get a working, diagnosed app plus a short note on what was wrong and how I fixed it.

Message me with your problem before ordering and I will tell you honestly if I can fix it and how long it will take.