I will build a prod ready rag chatbot using langchain, fastapi, and your custom data


About this gig
Are you looking to build an AI chatbot that actually knows your business your docs, your data, your products?
I build RAG (Retrieval-Augmented Generation) chatbots that go beyond generic GPT wrappers. Your chatbot will retrieve answers directly from your custom knowledge base PDFs, websites, databases, or internal documents powered by LangChain, FastAPI, and your choice of LLM (OpenAI, Claude, or Gemini).
What I deliver:
- Custom RAG pipeline built on LangChain or LlamaIndex
- Vector database integration (Pinecone, Chroma, FAISS, or Weaviate)
- FastAPI backend with clean REST endpoints
- Support for OpenAI GPT-4, Claude, Gemini, or local Ollama models
- Document ingestion pipeline (PDF, TXT, CSV, web scraping)
- Conversation memory and context-aware responses
- Clean, documented, production-ready code
Popular use cases: Customer support bots, internal knowledge assistants, HR policy chatbots, product Q&A systems, legal document Q&A, medical knowledge bases.
Why me? I've built RAG systems deployed in production using FastAPI and Docker. Every delivery includes clean code, requirements.txt, and a README so your team can maintain it. Message me before ordering to discuss your use case.
Get to know Muhammad S
Build production ready solutions powered by AI
- FromPakistan
- Member sinceDec 2024
- Avg. response time1 hour
Languages
Urdu, English
My Portfolio
FAQ
Can this integrate with my existing website or app?
Yes. I deliver it as an API (FastAPI) plus a simple embeddable widget, so it can sit on your website, inside your app, or connect to platforms like WhatsApp/Slack with some extra setup.
