• MODEL
  • SOURCE
  • CONFIG
  • HUMAN

How to audit RAG collections with your AI

Connect Cognita to your AI client to inspect your entire vector setup. Once connected, your agent can map out your collections and their underlying configurations.

Ask AI about this page

Short answer

How can I audit my RAG collections using AI?

Your agent uses Cognita to pull a full inventory of your vector stores, embedding models, and data sources. It compares these components to find configuration errors or broken links. You get a clear view of your retrieval stack's health.

Audit outcomes

Where configuration gaps land.

The AI flags specific issues across your vector stack.

MODEL

Embedding mismatches

The AI finds collections using models that don't match your current query logic. You'll know exactly which indexes need a refresh.

SOURCE

Broken data links

It identifies collections pointing to data sources that no longer exist. This helps you find orphaned vector data.

CONFIG

Token setting errors

The agent flags where token limits or chunking settings deviate from your standard. You get a list of inconsistent parameters.

HUMAN

Manual fixes needed

The AI highlights high-risk errors that require you to manually re-index or update credentials. It won't change your data itself.

The workflow

What your AI does when the audit arrives.

The AI systematically crawls your RAG infrastructure to build a diagnostic map.

  1. Inventory collections

    The agent pulls a complete list of every vector collection in your environment.

    list_collections

  2. Check model parity

    It inspects the specific embedding models assigned to each collection.

    list_models

  3. Verify data origins

    The AI maps collections to their original data sources to check for connectivity.

    list_data_sources

  4. Identify mismatches

    The agent compares the gathered model and source data to find configuration errors.

    list_collectionslist_models

Try it

Copy these to start.

Use these prompts to begin your audit.

Starting points

Swap the collection or model names for your actual IDs.

Cognita Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_SHxG8KJRFQw2m3lX2GfeLS7zRF34WrsRFB0j95Nv/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Cognita capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "cognita-rag-framework-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_SHxG8KJRFQw2m3lX2GfeLS7zRF34WrsRFB0j95Nv/mcp"
    }
  }
}
Copy into chat04

  • List all my collections and tell me which ones use the 'text-embedding-3-small' model.

  • Check if the data sources for my 'customer_support_v2' collection are still valid.

  • Compare the embedding models used in my production collections against my staging collections.

  • Find any collections that are mapped to data sources I no longer have access to.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Cognita once, then ask.

Link your account once and your credentials stay encrypted. You can then immediately start auditing your stack through your AI client.

Connect Cognita to your AI

FAQ

How the audit behaves

  • 01

    Can the AI fix my embedding mismatches automatically?

    No. The AI identifies the mismatches, but you must manually trigger re-indexing or model updates in your vector database.

  • 02

    Will this delete any of my vector collections?

    No. The tools only allow the AI to read and list your data. It cannot delete or modify your collections.

  • 03

    Can the AI update my token settings?

    No. The AI can only read and report on your current settings. You have to change them yourself.

  • 04

    How does it know which models I am using?

    It uses the list_models tool to pull the current configuration directly from your stack.

  • 05

    Does the AI see my actual document content?

    No. The AI only sees the metadata, model names, and source mappings provided by the tools.

  • More questions about Cognita? The Connector page answers them. See everything the Cognita Connector can do

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