I will a rag pipeline and ai knowledge base system

A
alirazaaibuilds
A
alirazaaibuilds
Ali raza

About this gig

Do you need an AI system that reads your documents and gives accurate, sourced answers?


I build custom RAG (Retrieval-Augmented Generation) systems that transform your PDFs, documents, or knowledge base into an intelligent AI assistant with real retrieval, not hallucinated answers.


What You Get:

  • Document ingestion pipeline (PDF, DOCX, TXT, web pages)
  • ChromaDB vector database setup and optimization
  • Semantic search with Gemini/HuggingFace embeddings
  • Multi-query RAG for high accuracy retrieval
  • Hybrid search: BM25 keyword + semantic vector search
  • CrossEncoder reranking for precision results
  • Optional: multimodal support (tables, images from PDFs)


️Tech Stack:

LangGraph | ChromaDB | HuggingFace | BM25 | CrossEncoder | Groq LLMs | Gemini Embeddings


Perfect For:

  • Law firms (legal document search)
  • Healthcare (medical knowledge base)
  • E-commerce (product FAQ assistant)
  • SaaS platforms (in-app AI search)
  • Research and education tools
  • Internal company knowledge systems


Message me with your use case before ordering.

I will recommend the right approach and package for your specific needs.

Get to know Ali raza

Ali raza

Agentic AI Developer

  • FromPakistan
  • Member sinceMay 2026
  • Languages

    Hindi, Urdu, English
I am an 18-year-old AI developer specializing in agentic AI, RAG systems, and LLM fine-tuning. I have built production-ready AI systems from scratch, including multimodal RAG pipelines and autonomous agents. I am focused on building practical AI solutions that solve real-world problems.

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