I will build custom multimodal rag pipeline and rag knowledge base

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Umar Farooq

About this gig

Build a High-Performance RAG Pipeline for Your LLM


Need a reliable RAG (Retrieval-Augmented Generation) backend for your AI application? I develop RAG pipelines, knowledge bases, and vector search systems that help LLMs retrieve accurate information from your documents.


Services

  • RAG Pipeline Development
  • Knowledge Base Creation
  • Document Processing (PDF, DOCX, CSV, JSON, TXT)
  • Semantic & Advanced Chunking
  • Embeddings & Vector Search
  • LangChain & LlamaIndex Integration
  • FAISS, ChromaDB, Pinecone & Qdrant
  • Retrieval Optimization & Prompt Engineering


Why Choose Me?

  • Production-ready and scalable solutions
  • Optimized retrieval for higher accuracy
  • Expertise in Generative AI, LLMs, and RAG systems
  • Clean, well-documented code with reliable communication


Note: This gig focuses on RAG backend development, including document processing, knowledge base creation, embeddings, vector search, and retrieval optimization. Frontend/UI development is not included.


Please message me before ordering to discuss your project requirements.

Get to know Umar Farooq

Umar Farooq

Gen AI, Machine Learning Expert, Data scientist

  • FromPakistan
  • Member sinceFeb 2026
  • Languages

    Urdu, English
I'm a Computer Science researcher and Generative AI engineer specializing in LLMs, RAG, Machine Learning, and AI backend development. I build AG pipelines, vector search, knowledge bases, LLM fine-tuning datasets, and retrieval systems using Python, LangChain, LlamaIndex, Hugging Face, FAISS, ChromaDB, and Pinecone. I also provide AI research consultation, literature review support, manuscript editing, and publication-ready formatting. I deliver clean, scalable, and reliable solutions tailored to your needs. 📩 Message me before ordering to discuss your project.

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