I will build production ready rag system with llm and vector database deployment

A
ahmedelwekel439
A
ahmedelwekel439
Ahmed Elwekel

About this gig

I build RAG systems that retrieve from multiple data sources simultaneously real systems deployed and monitored, not demos.

Real project: Multi-source assistant combining 100+ books and video transcripts, production deployed, under 500ms search time.


What you get

  • Multi-source RAG (books, videos, documents, APIs)
  • LLM integration (OpenAI, Anthropic, Llama, Groq)
  • Semantic search with hybrid ranking
  • Multi-turn conversation memory
  • FastAPI backend with streaming
  • Docker + VPS/AWS deployment + SSL
  • Monitoring, logging, documentation

Tech: LangChain · FAISS · Pinecone · pgvector · FastAPI · Docker · Nginx


Why me

  • 100+ queries/day in production
  • Under 500ms response time
  • Production-tested, not tutorial code

Perfect for: educational platforms, knowledge bases, customer support, research tools.

Message me first: What data sources? How much data? Expected queries/day?

Get to know Ahmed Elwekel

Ahmed Elwekel

AI Engineer

5.0(1)
  • FromEgypt
  • Member sinceJun 2023
  • Avg. response time1 hour
  • Last delivery2 years
  • Languages

    English
I'm Ahmed, an AI Engineer at Transform Digital Solutions, where I build and deploy AI systems for real clients. I specialize in RAG systems — giving LLMs access to your specific data for accurate, grounded answers — and Agentic AI — systems that don't just answer questions but take actions, use tools, and complete multi-step tasks autonomously. I don't deliver prototypes. I deliver monitored, containerized, production-ready systems. Stack: RAG · Agentic AI · LangChain · LangGraph · pgvector · OpenAI · Anthropic · FastAPI · React · Docker · AWS

My Portfolio