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I will fix rag chatbot hallucinations
Michiel H
Informazioni su questo servizio
Your RAG chatbot hallucinates. Wrong answers delivered with total confidence. Users notice, trust drops.
I audit the pipeline end to end: chunking, retrieval, ranking, prompt construction. In most systems the failure is chunking or retrieval, not the model. I find it and fix it at the source.
The work covers:
- Chunking and retrieval audit
- Hybrid search and reranking where they actually help
- Grounded answers with source citations
- Before/after accuracy measurement
- Documentation of every root cause and fix
Process: audit, then fixes, then validation against your own questions until accuracy holds.
This fits if your bot still invents facts, if users stopped trusting it, or if someone sold you "just add a vector database" and it did not work.
Message me before ordering. I will diagnose your setup within an hour.
Scopri di più su Michiel H
Michiel H
Marketing Strategist and Blockchain Consultant
- DaMessico
- Membro damar 2019
- Ultima consegna3 anni
Lingue
Inglese, Spagnolo, Olandese
Marketing strategist & blockchain consultant with 5+ yrs experience growing brands & 6+ yrs in crypto. Let's connect & transform your biz with effective digital marketing & web3 solutions—founder of 2 agencies, award-winning work.
Altri servizi della categoria Sviluppo AI offerti da me
FAQ
Why is my RAG chatbot hallucinating?
Usually broken chunking or retrieval. The model gets blamed, but in most audits the pipeline feeds it garbage context.
Can you guarantee zero hallucinations?
No one can promise that, and anyone who does is lying. You get a measured before/after rate plus citations so any answer can be checked in seconds.
What access do you need?
Access to your vector database setup, embedding config, and a sample of real user questions with the answers you expected.
Do you work with any vector database?
Yes. Pinecone, Weaviate, Chroma, pgvector, Milvus, and plain Postgres setups.
What do I get at the end?
The fixed system, a before/after accuracy report, and docs explaining what was broken and what changed.
