I will build a production rag chatbot with langchain, pinecone and fastapi

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abubakar1291
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abubakar1291
Abubakar

About this gig

I build production-oriented RAG chatbots that connect LLMs to your business data and knowledge bases.


Using LangChain, Pinecone, FastAPI, and modern LLMs such as GPT or Gemini, I can build:

Document ingestion, chunking, and embeddings

Semantic vector search and retrieval

MMR and metadata filtering

Context-aware prompting

FastAPI backend and API integration

Docker-ready deployment architecture


In my RAG project, retrieval optimization and context-aware prompting reduced hallucination and improved factual accuracy by approximately 30% versus a naive LLM baseline.


I can also integrate your RAG system with an existing application based on your requirements.


Please message me before ordering so I can review your data, use case, and technical requirements.

Get to know Abubakar

Abubakar

RAG Chatbot and AI Agent Developer using LangChain and CrewAI

  • FromPakistan
  • Member sinceDec 2025
  • Avg. response time1 hour
  • Languages

    Urdu, English
I'm a Generative AI Engineer specializing in RAG systems and autonomous AI agents. I build production-ready AI solutions that connect LLMs to real business data. What I build: - RAG chatbots using LangChain and vector databases like Pinecone - Multi-agent AI systems using CrewAI and LangGraph - FastAPI backends to deploy LLM apps as scalable APIs - End-to-end MLOps with Docker, AWS, MLflow and DVC Recent work includes a RAG chatbot that reduced hallucinations by 30 percent and a multi-agent research system that generates reports using real-time web search. Let's build your AI product.

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