Develop filters and categorization functionality for different data types stored in the Vector Store.

[TimPietrusky]

User Story

Title: Enhanced Data Filtering and Categorization in Vector Store

As a developer using Captain,

I want to have robust filters and categorization functionality for data stored in the Vector Store,

So that I can efficiently manage and retrieve diverse data types based on specific attributes and categories.

Acceptance Criteria (Behavior Outline)

Feature: Enhanced Filtering and Categorization in Vector Store

  Scenario: Categorizing stored data
    Given a developer stores new data in the Vector Store
    When they specify categories and attributes for the data
    Then the Vector Store organizes the data according to the provided categories and attributes

  Scenario: Filtering data by category
    Given multiple categories of data are stored in the Vector Store
    When a user queries the Vector Store for a specific category
    Then the Vector Store retrieves only data that matches the specified category

  Scenario: Applying filters to data retrieval
    Given data with various attributes is stored in the Vector Store
    When a user applies filters based on those attributes
    Then the Vector Store returns only data that matches the specified filters

  Scenario: Updating data categorization and attributes
    Given existing data categorized in the Vector Store
    When a developer updates the data with new categories or attributes
    Then the Vector Store re-categorizes and updates the data accordingly

Potential Subtasks

• Implement a tagging system within the Vector Store for categorizing data upon entry.
• Develop a query interface that allows users to filter data based on categories and attributes.
• Create a dynamic update mechanism for changing categories and attributes of stored data.
• Ensure the user interface for data management supports easy categorization and application of filters.
• Document best practices for developers on how to use the new filtering and categorization functionalities.

[TimPietrusky]

🎉 This issue has been resolved in version 1.0.0-alpha.30 🎉

The release is available on GitHub release

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