I will build an ai support agent trained on your own docs with rag

Most "AI chatbots" just wrap ChatGPT and guess. I build support agents that read YOUR content (help docs, PDFs, manuals, past tickets) and answer from it, with citations back to the source.

I have shipped exactly this in production: a multi-tenant RAG support agent with citations and human escalation, one of five AI-automation systems I built, each with a live demo and automated tests.

WHAT YOU GET

Ingestion pipeline for PDF, DOCX, web pages, Notion and help center exports

Vector search over your content using pgvector

Answers grounded in your docs, each citation linked to its source passage

When the agent is unsure it says so and escalates to a human instead of hallucinating

Chat UI, or an API/webhook endpoint for your product, Slack, WhatsApp or Intercom

Deployed, documented, full source code

STACK: Python/FastAPI or Node/TypeScript, OpenAI/Anthropic/Gemini, PostgreSQL + pgvector, LangChain, React.

I ship production software daily as a developer on a live Next.js/React Native/NestJS monorepo, and have delivered projects end to end for US clients.

Message me with what your docs look like and what your users ask, and I will tell you straight whether RAG fits.