AI Agent: Difference between revisions
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* '''Integration with Snowflake''': The AI Agent supports Snowflake's case-centric and object-centric models, allowing users to harness the full potential of their data within the Snowflake ecosystem. | * '''Integration with Snowflake''': The AI Agent supports Snowflake's case-centric and object-centric models, allowing users to harness the full potential of their data within the Snowflake ecosystem. | ||
This component is ideal for users seeking to leverage advanced language models to extract meaningful insights and drive data-driven strategies directly from their dashboards. | This component is ideal for users seeking to leverage advanced language models to extract meaningful insights and drive data-driven strategies directly from their dashboards. | ||
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== Take AI Agent into Use == | |||
In QPR Cloud, the AI Agent is disabled by default. To take the AI Agent into use, please send a request to customercare@qpr.com and the AI Agent will be enabled for your environment. | |||
To enable the AI Agent for customers using an on-premise system, the system administrator need to configure following: | |||
# Set up Snowflake Cortex or create an OpenAI account in https://openai.com, and create an OpenAI API key. Note that these are paid services and a credit card is needed for payments. | |||
# In the PA_CONFIGURATION table in QPR ProcessAnalyzer database, define your OpenAI API key in the [[PA_Configuration_database_table#OpenAIAPIKey|OpenAIAPIKey]] field. | |||
# Optionally, define which large language model to use in the [[PA_Configuration_database_table#OpenAIDefaultModelName|OpenAIDefaultModelName]] field. | |||
You can also fine-tune the large language model, so that it better suits to your use. For example, the large language modelcan be fine-tuned with background information regarding the analyzed process and the broader business environment. More information about fine-tuning OpenAI large language models, please contact QPR or check out the OpenAI technical instructions: https://platform.openai.com/docs/guides/fine-tuning. | |||
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Revision as of 10:32, 4 February 2025
The AI Agent is an innovative dashboard component designed to display textual responses generated by language models based on user-configured prompts. This component seamlessly integrates with both case-centric and object-centric Snowflake models, to provide comprehensive insights.
Key features of the AI Agent include:
- Versatile Model Support: The AI Agent is compatible with language models from both OpenAI and Snowflake Cortex, offering flexibility and a wide range of capabilities to meet diverse analytical needs.
- Dynamic Response Generation: By configuring specific prompts, users can tailor the AI Agent to generate relevant and context-specific textual responses, enhancing decision-making processes.
- Integration with Snowflake: The AI Agent supports Snowflake's case-centric and object-centric models, allowing users to harness the full potential of their data within the Snowflake ecosystem.
This component is ideal for users seeking to leverage advanced language models to extract meaningful insights and drive data-driven strategies directly from their dashboards.