I will build a custom rag or multi agent ai pipeline using llms, faiss, and AWS bedrock

M
musman_2003
M
musman_2003
Muhammad Usman
build a custom rag or multi agent ai pipeline using llms, faiss, and AWS bedrock
build a custom rag or multi agent ai pipeline using llms, faiss, and AWS bedrock
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build a custom rag or multi agent ai pipeline using llms, faiss, and AWS bedrockbuild a custom rag or multi agent ai pipeline using llms, faiss, and AWS bedrockbuild a custom rag or multi agent ai pipeline using llms, faiss, and AWS bedrockbuild a custom rag or multi agent ai pipeline using llms, faiss, and AWS bedrock

About this gig

Want to build an AI system that retrieves accurate, relevant answers from your data not hallucinations? I specialize in building production-grade RAG (Retrieval-Augmented Generation) systems and multi-agent AI pipelines powered by real LLMs.


What you get:

  • FAISS or vector DB setup for fast semantic search over your documents
  • LLM integration (Groq, Ollama, OpenAI, or AWS Bedrock)
  • RAG strategies: standard RAG, RAG Fusion, HyDE, or Corrective RAG
  • Multi-agent pipeline with discrete roles (planner, retriever, responder)
  • FastAPI backend with clean REST endpoints
  • React frontend for real-time query and response
  • AWS Bedrock or SageMaker deployment
  • Evaluation framework to benchmark retrieval accuracy


Why me? I built a full RAG comparison system from scratch indexing the CRAG web corpus with FAISS and implementing 4 retrieval strategies (RAG Fusion, HyDE, Corrective RAG, Graph RAG) with a live benchmarking dashboard. I'm AWS Certified with hands-on experience in Amazon Bedrock and SageMaker. You're getting a real AI engineer, not a wrapper builder.


Send me your use case (document Q&A, customer support bot, knowledge base, etc.) and I'll recommend the best architecture.

  • AI engine

    • Gemini
    • Langchain
    • Claude

  • Programming language

    • C
    • C++
    • Go
    • Java
    • JavaScript
    • Python
    • React
    • PyTorch
    • Tensorflow
    • Keras

Get to know Muhammad Usman

Muhammad Usman

Professional computer programmer

4.8(12)
  • FromPakistan
  • Member sinceMay 2022
  • Avg. response time1 hour
  • Last delivery8 months

  • Languages

    Urdu, Hindi, English
I build production-grade AI infrastructure that scales. SPECIALTIES: - LLM deployment & inference optimization (70% cost reduction) - Microservices architecture for AI products (Kubernetes) - Event-driven systems (Kafka, RabbitMQ, async processing) - Cloud architecture (AWS/GCP) WHAT I ACTUALLY DO: I don't just containerize apps. I design AI product systems that: ✓ Handle growth without redesigns ✓ Reduce costs by 60-70% ✓ Run reliably in production ✓ Scale from MVP to millions of requests BACKGROUND: - AWS certified infrastructure - AI/ML product deployment - Real-time data pipelines

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