Flow AI

AI agent architecture & RAG

How autonomous AI agents resolve inquiries using knowledge bases.

Autonomous customer support

Flow includes an autonomous AI Agent powered by Retrieval-Augmented Generation (RAG). Instead of relying on static keyword trees, the AI reads your documentation and answers customer questions factually in natural language 24/7.

How RAG works

  1. When a customer sends a question, Flow converts the message into a semantic vector embedding.
  2. It queries your workspace Knowledge Base for document chunks matching the inquiry.
  3. Flow combines your system instructions, the matched documentation passages, and conversation history into an LLM prompt.
  4. The AI drafts a branded response from your verified information.

Guardrails against made-up answers

The agent is instructed to answer only from your knowledge base and to hand off when unsure. AI can still make mistakes, so review its replies.