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Atoti Intelligence Essentials

This is part of the Atoti Intelligence Essentials offer.
This guide explains how to configure a custom Large Language Model (LLM) for use with Atoti Intelligence.

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Why configure an LLM?

Atoti Intelligence does not include a built-in model. Configuring a custom LLM enables the following capabilities:
  • Natural language queries and responses
  • Automated data analysis and explanations
  • AI-assisted visualization creation

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Prerequisites

Before configuring an LLM, ensure the following requirements are met:
  • Access to an LLM provider account (such as Amazon Bedrock or OpenAI)
  • API credentials for the chosen LLM provider

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Configuration approach

Atoti Intelligence uses Spring AI to connect to LLM providers. Spring AI supports multiple providers through a consistent configuration interface. See the Spring AI documentation for more information.

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Available configuration guides

This guide provides configuration examples for the following providers: For other providers, refer to the Spring AI documentation.