I will fix and optimize rag chatbot retrieval and hallucinations


Over deze dienst
Does your RAG chatbot retrieve weak evidence, cite the wrong source or underperform as your data grows?
I diagnose, fix and optimize existing RAG chatbots that miss relevant passages, rank evidence poorly or answer beyond their sources.
I inspect ingestion, chunking, metadata, lexical and vector search, hybrid fusion, ranking, context construction, citation mapping and insufficient evidence behavior. You receive reproducible test cases, prioritized findings and clear before and after results. Standard and Premium include agreed code changes.
My production retrieval backend combines full text and semantic search with weighted rank fusion, source deduplication, evidence reading, caching and regression checks. When appropriate, I can optimize basic vector retrieval into a better tested hybrid pipeline. I focus on measurable retrieval accuracy, not prompt changes alone.
I work with Python or JavaScript, REST APIs, FastAPI, Cloudflare Workers, PostgreSQL pgvector, Qdrant, SQLite FTS5 and comparable stacks.
Message me before ordering with your stack, failure examples, access method and 2 to 5 real questions.
Maak kennis met Amin bm
Programming and Tech
- Afkomstig uitVerenigd Koninkrijk
- Lid sindsaug 2026
Talen
Engels
Veelgestelde vragen
Do I need to share my full production database?
sually not. A representative corpus, test environment or reproducible sample is safer and often sufficient. We will agree on the minimum access needed before the order.
Can you fix and optimize a RAG system built by another developer?
Yes, if I can inspect the relevant code, endpoint behavior or a reproducible setup. Basic provides diagnosis; Standard and Premium include agreed fixes or retrieval optimizations.

