Autonomous Agents

Semantic Document Knowledge Graph

UNTH.AI (Internal Project) · Information Systems

UNTH.AI (Internal Project) — Semantic Document Knowledge Graph live site

The Problem

Our own notes, guides, and past chats were spread across many different tools. Our team and our AI helpers wasted time hunting for the right piece of information.

What We Built

We built a shared memory that reads all of those notes and guides, remembers what they say, and understands how they connect, so anyone can ask a question and get the exact answer.

How It Works

  1. It reads through all our documents and past conversations.
  2. It stores them in a way it can search by meaning, not just by exact words.
  3. It maps how the different pieces relate to one another.
  4. When asked a question, it hands back the exact matching information.

What Changed

Our team and our AI helpers now find the right answer quickly, and the helpers give more accurate replies because they are working from real, correct information.

CLIENT:UNTH.AI (Internal Project)
INDUSTRY:Information Systems
TECH STACK:
PostgreSQL + pgvectorExpress 5 (TypeScript)MCP ServerXenova TransformersReact 19 + ViteDocker

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