Working with AI Space

Working with AI Space

This documentation is for Kyvos 2026.8.x. To view documentation for other Kyvos versions, click here.

This documentation is for Kyvos 2026.8.x. To view documentation for other Kyvos versions, click here.

✅ Enterprise: AWS, Azure, GCP, and On-Premises ✅ Marketplace: AWS, Azure, and GCP ✅ SaaS: AWS, Azure, and GCP ✅ Single Node Installation (SNI)

Note

This section applies to Kyvos Dialogs Quick Analysis and Deep Dive Analysis.

Overview

This section details how to use the AI Space in Kyvos to interact with data using natural-language queries and automatically generate insights, visualizations, and analyses.

AI Space in Kyvos enables conversational analytics across multiple data sources within a unified business context. It acts as a container that consolidates relevant entities for semantic models.

By organizing these entities within a single AI Space, Kyvos supports seamless conversational Q&A across multiple semantic models, enriched with external data sources. AI Spaces provide centralized AI settings, including shared business context, tool definitions, and business rules, ensuring accurate query interpretation, consistent SQL generation, and insights beyond simple “what” questions.

Creating an AI Space

To create an AI Space, perform the following steps.

  1. From the Toolbox, select AI Space.

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  2. Click the three dots (…) actions menu > Add Space. The AI Space panel is shown, displaying a list of semantic models.

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  3. In the Space Assets pane, drag and drop the semantic model to the Space Objects pane in the right.

Advanced settings

In the Advanced section, you can define the global LLM connections for the AI Space. Specify the LLM connection and Embedding connection for metadata, query, and summary generation.

Kyvos validates AI connections configured for an AI Space and its associated semantic model. If an AI connection is invalid, a warning is displayed on the AI Settings page and during semantic model validation, while still allowing you to save the configuration.

To configure global LLM connections for this space, perform the following steps.

  1. Navigate to the Settings option.

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  2. In the Settings pane, enter the following details.

Area

Parameter

Description

Area

Parameter

Description

General

Allow Sending Data to LLM

Configure whether data from the AI space is sent to the LLM by selecting one of these options:

  • Use Connection Default (default): Uses the data-sharing setting configured for the selected LLM connection. For example, when a Q&A request is processed in Kyvos Dialogs using Precise mode, the system checks the LLM connection set for Summary Generation. If data sharing is enabled for that connection, data from the AI space is shared with the LLM.

  • Yes: Data is always sent to the LLM.

  • No: Data is never sent to the LLM.

Query Generation

LLM Connection

Select the LLM connection used by Kyvos Dialogs and Kyvos Viz. for interactions with this semantic model.

 

Embedding Connection

Select the embedding connection to generate embeddings of AI Space metadata for semantic search and retrieval. Helps the system understand context, match similar queries, and improve result accuracy.

Summary Generation

LLM Connection

Select the LLM connection used for natural language generation on this semantic model.

Max Data Points for Summary

This property configures the maximum number of data points involved in generating the summary.

Metadata Generation

LLM Connection

Select the LLM connection from the list. This connection automatically generates metadata such as descriptions, tags, and business context for data models.

More Actions

  1. Click the Actions menu (…) and do the following:

    image-20260629-102741.png
    • Validate the space

    • Share the space via link or grant access.

    • Refresh the space to get the updates.

    • Add Note or Tag for the space.

  2. Click Save. The Space will be added and displayed to the AI Space panel.

Collaborative editing support

From Kyvos 2026.5 onwards, Kyvos supports collaborative editing by allowing multiple users to work on the same AI space model simultaneously without enforcing edit locks. It provides visibility into active users, detects concurrent modifications, and offers conflict resolution and merge capabilities to help users manage and reconcile changes efficiently.

Copyright Kyvos, Inc. 2026. All rights reserved.