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Working with Data Management

The Data Management section of Kosmoy Studio is your central hub for connecting to, organizing, and managing your data. It provides the tools you need to integrate your data seamlessly into your AI applications, enabling you to build powerful, data-driven solutions, including those that leverage advanced techniques like Retrieval Augmented Generation (RAG).

Key Components of Data Management:

• Data Catalog: A structured inventory of your data sources, including databases, collections, object stores, and folders. It allows you to easily discover, understand, and utilize your data assets. Importantly, the Data Catalog does not store the actual data but creates metadata representations that point to the original data locations.
• Connections: Securely store and manage credentials for accessing various databases, enabling seamless integration with your data sources.
• Data Channels: Create a meaningful link between your data and its intended use. Data Channels associate a specific database with a defined business objective, providing context for AI Assistants and enabling them to retrieve data effectively. This is particularly crucial for applications like RAG, where understanding the purpose of the data is essential.
• Data Ingestion: Build and manage data pipelines to prepare and process your data for use in AI applications. This includes Vector Pipelines, which transform unstructured data (such as PDF files in object store folders) into vectors within a target collection of a Vector Database, forming the foundation of a RAG pipeline.

In this section, you will learn about:

• Navigating the Data Management interface.
• Creating and managing connections to your databases (Connections).
• Populating the Data Catalog with your data sources (Databases, Collections, Object Stores, Folders).
• Setting up Data Channels to provide controlled and context-aware data access to your Assistants (Data Channels).
• Building Data Ingestion pipelines, including Vector Pipelines, to prepare your data for AI applications (Data Ingestion).

Prerequisites:

Before utilizing many of the Data Management features, you will need to establish either Connections (for databases) or Integrations (for object stores) with your data providers. Refer to the Managing Connections and Managing Integrations sections for details.

This comprehensive suite of data management tools empowers you to effectively leverage your data within the Kosmoy platform, unlocking the full potential of your AI applications, particularly those involving Retrieval Augmented Generation.