I will build rag pipelines and ai document chatbots

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nimrazahid589
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nimrazahid589
Nimra Zahid

About this gig

If you want an AI assistant that can answer from your documents, PDFs, knowledge base, or business data, I can help you build a reliable RAG pipeline and chatbot backend.


I specialize in Retrieval-Augmented Generation (RAG), AI document chatbots, semantic search, vector database retrieval, and backend AI workflows using modern LLM tools.


What I can help you build:


RAG pipeline development

PDF/document ingestion and text processing

Chunking, embeddings, and vector database setup

AI chatbot connected to your documents or knowledge base

OpenAI, Claude, or Gemini API integration

FastAPI backend endpoints for AI workflows

Metadata filtering and semantic search

Hallucination reduction through retrieved context

PostgreSQL, Supabase, and database-connected AI workflows

Testing, setup guidance, and handoff documentation

Technologies:

Python, FastAPI, LangChain, OpenAI API, vector databases, PostgreSQL, Supabase, REST APIs, and modern LLM tooling.

My focus is clean backend architecture, reliable retrieval, source-aware responses, and maintainable AI workflows that can grow with your business needs.

Please contact me before ordering so we can confirm your documents, data sources, AI pro

Get to know Nimra Zahid

Nimra Zahid

AI ML Engineer RAG Pipelines API Integrations

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

    English
I’m an AI/ML Engineer and Computer Science graduate specializing in AI integrations, RAG pipelines, backend systems, and NLP applications. I build reliable AI-powered solutions using OpenAI, Claude, Gemini, LangChain, vector databases, and custom APIs. My experience includes AI chatbots, workflow automation, REST APIs, backend development, prompt optimization, and AI dashboards. I focus on scalable, production-ready systems with clear communication and reliable delivery tailored to business needs.

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