I will build a professional rag ai chatbot for your documents using langchain


About this gig
About This Gig: Are you tired of AI chatbots that hallucinate or give generic answers? You need an AI that actually knows your business.
I specialize in building Retrieval-Augmented Generation (RAG) systems. Instead of relying on general knowledge, I will develop a custom AI chatbot that strictly answers questions based on your specific PDFs, institutional documents, or company data.
What I Offer:
- Context-Aware Responses: The chatbot will fetch exact information from your documents, ensuring high accuracy and zero hallucinations.
- Agentic Workflows: Complex routing and logic using LangGraph for multi-step reasoning.
- Vector Database Integration: Efficient document storage and similarity search using ChromaDB.
- Premium Full-Stack Delivery: A fast, responsive frontend built in React, connected to a robust FastAPI backend.
- LLM Flexibility: Integration with the Gemini API, OpenAI, or Hugging Face APIs depending on your project needs.
Tech Stack Used: LangChain | LangGraph | ChromaDB | React.js | FastAPI | Node.js | Python
Perfect For:
- Customer support bots trained on company policies.
- Internal team assistants trained on standard operating procedures.
- Academic or research assistants.
Get to know Muazam Q
Software Developer : AI, Flutter and Web Development
- FromPakistan
- Member sinceApr 2024
- Avg. response time1 hour
Languages
Urdu, Pashto, English
My Portfolio
FAQ
Q: What is RAG and why is it better than standard ChatGPT?
A: Standard LLMs guess answers based on general training. RAG (Retrieval-Augmented Generation) forces the AI to search your specific documents first, resulting in highly accurate, professional answers without making things up.
Q: Can this handle multiple PDFs?
A: Yes, the Standard and Premium packages utilize vector databases (ChromaDB) to instantly search through large collections of documents.
Q: Will the chatbot have a user interface?
A: Yes! The Standard and Premium tiers include a responsive, custom web interface built with React and styled cleanly.

