I will build custom llm applications with rag

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hami95
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hami95
AbdurRehman
Alcune informazioni sono riportate in lingua inglese.

Informazioni su questo servizio

Need a RAG system that actually works on your real data not just on a toy dataset?


I build production-grade RAG pipelines that let your team query thousands of documents with fast, accurate, contextual answers powered by the best LLMs.


WHAT'S INCLUDED:

Document ingestion pipeline (PDF, DOCX, CSV, TXT, web URLs)

Embedding generation + vector store setup (Pinecone, pgvector, Chroma)

LLM integration (OpenAI GPT-4, Claude, Gemini, or open-source)

FastAPI endpoint + LangSmith monitoring + Docker-ready deployment

Full documentation and post-launch support


Message me first I will review your use case and confirm the right package.

Scopri di più su AbdurRehman

AbdurRehman

Senior AI Engineer

  • DaPakistan
  • Membro dadic 2018
  • Lingue

    Inglese, Urdu, Punjabi, Spagnolo, Tedesco, Francese, Italiano
With over 5 years of experience, I have built production-ready AI systems and enterprise RAG pipelines using LangChain, LangGraph, Pinecone, pgvector, FastAPI, Docker, OpenAI API, Claude API, and LangSmith. I help businesses create scalable AI infrastructure, internal knowledge search, AI automation workflows, compliance retrieval systems, document analysis tools, and KPI dashboards. Every project includes clean architecture, vector DB integration, monitoring, documentation, and long-term scalability, built for real production use, not just demos.

Il mio portfolio

Altri servizi della categoria Sviluppo AI offerti da me