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🗂️ What is a Data Store?

A Datastore is a centralized collection of various data sources—such as PDFs, webpages, or internal knowledge bases—managed through the Organization Console. It acts as a unified repository for your data, enabling seamless access and integration across:
  • Multiple AI agents
  • AI-powered workflows
  • Organizational applications
Datastores allow you to reuse data across projects, eliminating the need to recreate sources repeatedly.
This reusability improves consistency, reduces manual effort, and saves time and costs when scaling your AI initiatives.
Whether you’re working with structured or unstructured data, datastores offer a scalable way to manage your organization’s knowledge corpus.

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🛠️ Steps to Add a Datastore

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Step 1: Start Creating a New Datastore

  • Navigate to the AI Data Stores section in the organization console
  • Click on Create New Data Store
Add New Datastore Button

AI Data Store: Create New DataStore

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Step 2: Add Datastore Details

  • Fill in the following:
    • Datastore Name
    • Description
    • Embedding Model
  • Click Add Datastore to finalize
Datastore Details Form

AI Data Store: Add Datastore Details

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Step 3: View Datastore in List

Once created, your datastore will appear in the organization’s list with embedding info and data stats.
Datastore View List

AI Data Store: Datastore List

📌 Note:
While multiple datastores within the same project can use different embedding models, to link a datastore with a agent, both must use the same embedding model.