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

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nimrazahid589
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nimrazahid589
Nimra Zahid

About this gig

Build a dependable AI chatbot that answers from your documents, PDFs, website content, or knowledge base.


I will create a Retrieval-Augmented Generation (RAG) workflow that retrieves relevant information before the model responds, helping improve accuracy and provide source-aware answers.


I can deliver:


Document or PDF ingestion and cleaning

Chunking, embeddings, and vector search

Chatbot connected to your private knowledge base

OpenAI, Claude, Gemini, or open-source model integration

Pinecone, Qdrant, Chroma, FAISS, PostgreSQL/pgvector, or Supabase

FastAPI endpoints and database integration

Metadata filters, citations, testing, and setup documentation


You receive maintainable Python source code and a clear handoff. Standard and Premium packages support more complete, production-oriented workflows. Exact document volume, integrations, interface, and deployment must be agreed before ordering.


Please message me with your data sources, expected users, preferred model, current stack, and hosting requirements so I can confirm the right package.

Get to know Nimra Zahid

Nimra Zahid

AI Engineer for RAG Chatbots, LLM Integrations and Python APIs

5.0(79)
  • FromPakistan
  • Member sinceApr 2016
  • Last delivery1 year
  • Languages

    English
I'm an AI/ML Engineer specializing in practical AI integrations, RAG systems, document chatbots, and Python backends. I help businesses connect OpenAI, Claude, Gemini, and other language models to their documents, databases, websites, and existing applications. My work includes semantic search, FastAPI development, vector databases, API integrations, debugging, and deployment support. You will receive maintainable source code, clear documentation, realistic guidance, and reliable communication from prototype through handoff.

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