Go Argent

AI agent system

Docs RAG That Cites

Answers from your documentation, with the paragraph it used

by Nadia Okafor

No measured runs yet. Metrics appear here once the evaluation engine has real execution data — they are never supplied by the seller.

What it does

A retrieval system over your own documentation that answers in prose and shows the source paragraph for every claim. If it cannot find support, it says so instead of composing something plausible.

Ships as a container with a pgvector store. Re-indexes on a webhook when your docs change, so the answer and the documentation never drift apart.

Ideal use cases

  • Internal knowledge bases above a few hundred pages
  • Public docs where a wrong answer costs a support ticket
  • Teams that need every answer traceable to a source

Where not to use it

  • Documentation that is out of date — this makes that worse, not better
  • Questions whose answers are not written down anywhere

The problem it solves

Support and engineering answer the same documented questions all week, and the answers drift from what the docs actually say.

Details

Domain
Software Engineering & DevOps
Category
Agent Infrastructure
Sub-category
Documentation RAG
Architecture
Full API Container/SaaS
Built for
Cross-Industry (Horizontal)
Runs on
Web + mobile
Protocols
Model Context Protocol (MCP)REST APIWebhooks
Ecosystems
LlamaIndexCustom/Standalone Docker
Deployment
Docker ContainerSlack