I will build a rag chatbot for your pdfs, documents and website

Your team wastes hours digging through PDFs and documents to find one answer. Customers ask questions your documentation already covers, but nobody has time to search page by page.

I build custom RAG (Retrieval-Augmented Generation) chatbots that read your PDFs, documents, and website content, then answer questions instantly, pulling answers from your data instead of generic AI guesses.

What you get:

- A RAG chatbot trained on your PDFs, documents, or website

- Semantic search across your knowledge base using vector embeddings

- Source-grounded answers with optional citations to cut hallucinations

- Integration with OpenAI, Gemini, or Claude

- A clean chat interface (web app or API) for your site

Built with Python, LangChain, FastAPI, and vector databases like ChromaDB or Pinecone: a document-aware AI system, not a scripted FAQ bot.

Ideal for knowledge bases, product manuals, policy docs, and content-heavy websites.

I hold a Bachelor degree in AI with hands-on RAG, NLP, and LLM experience, and build every chatbot to be reliable, documented, and easy to maintain.

Message me with your use case before ordering and I will tell you honestly what is possible.