RAG AI Chatbot & Knowledge-Base Agent

I build RAG and knowledge-base assistants that answer from your business documents and FAQs instead of relying on a generic model.

What I can build:

• Document ingestion and retrieval setup
• Citation and confidence/fallback logic so answers stay accurate
• LangChain and vector database implementation
• Live CRM actions, contact lookup, appointment checks, lead tagging
• API endpoints for embedding the assistant into your product

How I work:

1. Confirm what data sources the assistant should use
2. Build retrieval and response logic with citations
3. Test against a representative question set, not just a demo
4. Connect CRM actions if the assistant needs to do more than answer

My current build uses Python, LangChain, ChromaDB and Gemini with GoHighLevel actions and a published evaluation set testing real answer accuracy, not just a polished demo.