I will build a rag chatbot that lets you chat with your pdfs, documents, and knowledge

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Niyam Rai

About this gig

Build a RAG Chatbot for Your Documents & Knowledge Base

I will build a custom RAG (Retrieval-Augmented Generation) chatbot using Python that can understand your PDFs, documents, and knowledge base and provide accurate AI-powered answers.

What I can build

  • PDF and document Q&A chatbot
  • Custom RAG pipeline
  • Document processing and text extraction
  • Embeddings and semantic search
  • Vector database integration
  • LLM integration
  • Source/citation-based answers
  • Custom knowledge-base chatbot
  • API integration and deployment

I can work with technologies such as Python, LangChain, OpenAI, Gemini, FAISS, ChromaDB, Qdrant, and PostgreSQL/pgvector.

Whether you need a chatbot for company documents, research papers, manuals, or a private knowledge base, I can build a solution tailored to your requirements.

Message me before ordering so we can discuss your documents, requirements, and the best RAG architecture for your project.

Get to know Niyam Rai

Niyam Rai

Software Developer

  • FromIndia
  • Member sinceNov 2022
  • Languages

    English
I am a Software Developer with over 3 years of experience specializing in Java Full Stack development. I have extensive expertise in building scalable backend systems with Spring Boot and Node.js, as well as creating responsive user interfaces using ReactJS, NextJS, and Tailwind CSS.

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