I will build a rag chatbot and retrieval pipeline for your documents and knowledge base

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Talha J. Siam

About this gig

I build RAG chatbots and retrieval pipelines that actually work on real business documents not Streamlit demos that break on anything beyond simple PDFs.


I built the retrieval system behind AskTuring.ai, an enterprise AI knowledge base that processes 15+ document formats with accuracy that outperformed every off-the-shelf RAG solution we tested.


If you have tried a basic RAG setup and got frustrated by wrong answers, hallucinations, or missed context from tables and images that is exactly what I solve.


What I build that basic RAG chatbot gigs do not:

  • Custom chunking strategies optimized per document type (not one-size-fits-all 512-token splits)
  • Hybrid retrieval combining semantic search + BM25 for dramatically better recall
  • Citation tracking with source provenance know exactly where every answer comes from
  • Multi-format document handling: tables, scanned PDFs, images, spreadsheets, mixed-content docs
  • Evaluation pipelines with retrieval metrics so you can measure quality
  • Production deployment with monitoring a real API, not a demo


Message me before ordering to discuss your RAG chatbot requirements.

Get to know Talha J. Siam

Talha J. Siam

Senior Software Engineer

  • FromBangladesh
  • Member sinceApr 2026
  • Avg. response time1 hour
  • Languages

    English
I co-founded and built AskTuring.ai from zero to an enterprise-ready AI platform. I scaled the team to 25 engineers, shipped SSO/SCIM/RBAC for enterprise customers, and achieved SOC2 Type 2. I am currently exploring what's next in AI infrastructure.