Managing Data Stores

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Organization vs. Project Scope

• Organization-Level Data Stores:
  Accessible globally across all projects and agents within your organization.
• Project-Level Data Stores:
  Restricted to specific agents or configurations under that project.

Reusable data stores eliminate duplication, reduce costs, and simplify multi-agent integrations. One setup, multiple uses!

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How to Access and Manage Data Store Settings

1

Open Data Store Overview

To manage a data store:

• Navigate to the AI Data Stores console
• Click on a specific data store to open its overview panel

2

Review Data Store Summary

In the top section of the overview tab, you will find key statistics:

• Number of AI Agents using this store
• Volume of data converted into the AI knowledge corpus
• Total data size in bytes
• Linked sources count
• Storage usage against quota

This area gives you an at-a-glance status of store usage and integrations.

3

Edit Data Store Details

In the Data Store Details section, you can view and modify:

• Store name and description
• Embedding model in use
• Creator and creation date
• Enable/disable status
• Allow data reuse toggle (if data from this store can be linked elsewhere)

4

Adjust RAG Settings (Optional)

At the bottom of the overview section, you can configure RAG (Retrieval-Augmented Generation) Settings:

• Chunk Size – Size of each text segment processed by the embedding model.
• Chunk Overlap – Number of tokens that overlap between chunks for better continuity.
• Enhanced Website Loader – Improves structure and readability when processing webpages.

If you’re unsure, keep the default RAG settings as-is for best performance.