I will fix optimize and improve rag chatbot

M
mohammadaminb
M
mohammadaminb
Amin bm

About this gig

Does your RAG chatbot retrieve weak evidence, fail to accurately search a non-PA site or even a personal database? Does it return duplicate results? Does it not return results correctly from most relevant to least relevant?


I identify, fix, and optimize existing RAG chatbots that miss relevant parts, weaken evidence, return duplicates, or fail to search.


I examine input, segmentation, metadata, lexical search and review, hybrid integration, ranking, context, provincial mapping, and inadequate evidence behavior. You provide repeatable test cases, prioritized findings, and clear before-and-after results. Standard and Premium include agreed-upon code changes.


My production retrieval support combines full-text and semantic search with weighted rank integration, source deduplication, evidence reading, caching, and regression checking. If necessary, I can do the recovery with a test pipeline. I measure the accuracy of the recovery, not just how fast it is.


I work with Python or JavaScript, REST APIs, FastAPI, Cloudflare Workers, PostgreSQL pgvector, Qdrant, SQLite FTS5 and similar stacks.



Get to know Amin bm

Amin bm

Programming and Tech

  • FromUnited Kingdom
  • Member sinceAug 2026
  • Languages

    English
Python and JavaScript developer specializing in reliable RAG, hybrid search and document processing systems. Translating and studying different languages ​​is my passion, and I have thousands of pages of specialized and general translations. I build complete, tested solutions that turn private documents into searchable knowledge bases. My public work includes a live serverless retrieval backend and md for AI, my own pipeline for cleaning, structuring and chunking books for RAG. I bring a Masters in Economics, strong quantitative reasoning, documented source code and honest project scoping.

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