I will build a custom ai chatbot trained on your documents and website


About this gig
You will get a chatbot that answers strictly from your own documents and always cites its sources, no hallucinated answers, no generic AI guessing. I build this as a genuine RAG pipeline: your documents are chunked, embedded with a lightweight custom retrieval model, and stored in a vector database, then every question is matched against that content and answered directly from the best passage found. If the answer is not in your docs, the bot says so and points the user to your support channel instead of making something up.
You also get an admin panel to upload and manage source documents, and a usage log showing exactly how each question was scored and matched.
With 8+ years building backend systems for banking, insurance, and telecom platforms, I focus on what matters in production: retrieval accuracy, traceability, and predictable costs, not just a flashy demo. Want a real LLM (OpenAI/Claude) wired in for generation instead of the built-in retrieval model? Message me and I'll scope it as a custom add-on.
Message me before ordering with a link or sample of the documents you want indexed so I can confirm scope.
Get to know Mohamed A
Senior Full Stack Developer for Web Apps AI and Payments
- FromMorocco
- Member sinceSep 2018
- Avg. response time1 hour
Languages
French, English
FAQ
Which AI model and vector database do you use?
I typically use OpenAI or Anthropic models for generation and a managed vector store such as pgvector or Pinecone, happy to match your existing stack.

