I will build a python rag chatbot for your documents

K
keithferns0311
K
keithferns0311
Keith Fernandes

About this gig

Are you looking to connect your private business documents, PDFs, or databases to custom AI models like GPT-4, Claude, or Llama? You are in the right place! I am a Python developer specializing in building production-grade Retrieval-Augmented Generation (RAG) pipelines and autonomous AI agent systems tailored to your exact workflow. ### What I Offer: Custom Document Loaders: Extract & clean data from PDFs, CSVs, Notion, or SQL databases. Advanced Vector Search: Hybrid retrieval (BM25 + Dense) with Cohere/BGE re-ranking for maximum accuracy. Vector DB Setup: Integration with Pinecone, ChromaDB, Qdrant, PGVector, or Milvus. Multi-Agent Systems: Autonomous AI agents using LangChain, LlamaIndex, or CrewAI. Demo UI & Backend: Interactive Streamlit/Gradio frontends or FastAPI integration. ### Why Work With Me? Clean, modular, and well-documented Python code. Cost-optimized token routing to keep LLM API fees low. Privacy options to deploy 100% offline local RAG using Ollama.

Get to know Keith Fernandes

Keith Fernandes

Software Engineer

  • FromIndia
  • Member sinceOct 2026
  • Avg. response time1 hour
  • Languages

    English, Hindi
I'm a Software Engineer specializing in Python, AI/ML, backend development, and web applications. I build AI-powered solutions, RAG pipelines, chatbots, and automation workflows. My expertise includes FastAPI, REST API development, database design and integration (PostgreSQL, MongoDB), backend business logic, and API integrations. I also provide intermediate-level frontend development using React.js, responsive UI development, and full-stack application integration. I focus on clean code, reliable solutions, clear communication, and understanding your requirements to deliver quality results.