I build custom RAG (Retrieval-Augmented Generation) chatbots that are trained on your own business documents — not generic AI. Whether it's your product manuals, FAQs, policies, or website content, I ingest your knowledge base into a secure vector database and connect it to a powerful LLM (GPT-4o or Groq LLaMA) so your chatbot answers accurately from your actual content, with source citations on every response. Zero hallucinations. Zero generic answers. Just precise, verifiable responses grounded in your business data.

The chatbot deploys as a clean chat widget on your website, WhatsApp, Telegram, or as a standalone link — ready for your customers in days, not months. Every delivery includes the full source code, a private GitHub repo, and a deployment guide so you own everything. Supports PDF, Word, CSV, PowerPoint, and web content. Built on LangChain, HuggingFace embeddings, and pgvector — production-grade stack used by real businesses, not toy demos.