I will audit and fix your rag chatbot giving wrong or hallucinated answers

J
josh_allard
J
josh_allard
Dr. Allard

About this gig

Your RAG chatbot returns confident answers that are wrong. The problem is almost never the model.


In most broken retrieval systems, the failure is upstream: bad chunking, weak embeddings, no re-ranking, or a retrieval step nobody ever measured. Swapping to a bigger LLM won't fix it, and it's expensive.


I'm a Ph.D. AI architect with 12+ years building production LLM and ML systems for enterprise clients in regulated industries. 5 awarded AI patents. I've architected retrieval pipelines that had to be right, not just impressive in a demo.


What you get:

Root-cause analysis of why retrieval is failing

Retrieval quality measured with real metrics (recall, precision, nDCG) not vibes

Chunking and re-ranking analysis with tested alternatives

A prioritized fix list, highest impact first

Plain-English findings your engineers can act on immediately


What I need from you: your document corpus (or a representative sample), example questions that fail, and read access to your current pipeline or a description of it.

Every deliverable is a written report you keep. No lock-in, no retainer.


Message me with what's breaking, and I'll tell you honestly whether I can help.

Get to know Dr. Allard

Dr. Allard

Director, AI Solutions Platform Architect

  • FromUnited States
  • Member sinceJan 2025
  • Avg. response time2 hours
  • Languages

    English
I build AI systems that survive contact with real data — not demos. 12+ years architecting AI agents, RAG pipelines, and LLM integrations for enterprise clients in healthcare, finance, and other regulated industries. Ph.D. in Data Science, 5 awarded AI patents. What I can do for you: • Custom AI agents and multi-agent workflows • Chatbots and RAG systems trained on your documents • MCP integrations linking AI to your tools and data • AI architecture reviews, evaluation, and governance Message me before ordering so I can scope it properly.