Sync your database schema to an AI search index automatically

Keeps an AI-searchable index of your database structure up to date whenever tables change.

How the work actually flows

A straight line. Runs once per each database table.

Pattern: Sequence (1) ยท Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(("user runs schema check")):::human s0[["Read table structure"]]:::mi s1["Compare to indexed version"]:::task s2["Reindex changed tables"]:::svc trig --> s0 s0 --> s1 s1 --> s2 out[/"AI index kept current"/]:::out pay{{"reliable AI answers about database"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepAn outside serviceRuns once per itemA personResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Knowledge Base & RAG
Connects
MySQLPineconeOpenAI

The problem it solves

When your database changes, any AI tool built on top of it can start giving wrong or outdated answers. Keeping an AI's understanding of your database in sync usually means manually re-indexing every time something changes.

Who it fits

Technical teams running AI tools that need an up-to-date understanding of a company database.

How it works

  1. You run the check against your MySQL database
  2. The system reads the structure of every table
  3. It compares each table's current structure to what's already indexed
  4. Only tables that changed get re-indexed into the AI search database
  5. You're left with an always-current AI reference of your database structure
What you get

An AI index that always matches your database

You get your AI search index kept in sync with your database structure automatically, whenever tables change.

What you get

An up-to-date, searchable index of your database structure for AI tools to reference.

What you need

A MySQL database, a Pinecone account, and an OpenAI API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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