I will do ai document processing and rag system

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anjum_zahid
A
anjum_zahid
Anjum Zahid
do ai document processing and rag system
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do ai document processing and rag system
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do ai document processing and rag systemdo ai document processing and rag systemdo ai document processing and rag system

About this gig

I will build an AI-powered document intelligence system using Retrieval-Augmented Generation (RAG) and semantic search to extract accurate answers from your PDFs, manuals, and custom datasets.


This solution transforms static documents into a smart AI knowledge base that can understand user queries and return context-aware, reliable responses using modern LLM workflows.


What this gig offers:

AI-powered PDF & document ingestion

Vector-based semantic search for relevant information

RAG pipelines for intelligent question answering

Support for single or multiple documents

API-ready backend using FastAPI

Dockerized deployment for scalability and production use


This gig is ideal for:


  • Businesses with large document repositories
  • Knowledge base & internal search systems
  • Legal, healthcare, technical, and research documents
  • AI-powered FAQ and document Q&A platforms


Technologies used include LangChain, LLMs, vector databases, FastAPI, and Docker to ensure accuracy, performance, and scalability.

Lets turn your documents into a powerful AI-driven knowledge system

  • AI engine

    • GPT
    • Gemini
    • Langchain

  • Programming language

    • Python

Get to know Anjum Zahid

Anjum Zahid

AI and ML Engineer

  • FromPakistan
  • Member sinceJan 2023
  • Avg. response time5 hours

  • Languages

    Urdu, English
AI & Machine Learning Engineer | AI Chatbots | Generative AI | Agentic AI | RAG AI Engineer with 7+ years experience, specializing in AI Chatbots, Generative AI, Agentic AI, and RAG pipelines. I build scalable LLM-powered applications using Python, FastAPI, LangChain, LangGraph, FAISS, and OpenAI. Expertise in vector databases, semantic search, automation, and production deployment with Docker and AWS. Let’s build intelligent AI systems that scale.

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