# LLM Integration

> Sisense Intelligence uses Large Language Models (LLMs) as the basis for our advanced analytical features. Sisense offers both managed LLM integration and bring-your-own LLM (BYO-LLM) options.

*Source: https://docs.sisense.com/main/SisenseLinux/llm-integration.htm*

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Last updated: June 11, 2026

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| --- | --- |
| [Tier](https://www.sisense.com/pricing/#pricing) | [Deployment](https://docs.sisense.com/main/SisenseLinux/introduction-to-sisense-cloud-managed-services.md#ComparisonofManagedCloudandSelfHosted) |
| Launch     Grow    Enterprise | Cloud     On-Prem |

Sisense Intelligence uses Large Language Models (LLMs) as the basis for our advanced analytical features. Sisense offers both managed LLM integration and bring-your-own LLM (BYO-LLM) options:

- **Managed LLM:** For Generative AI features, Sisense can provide a managed Azure-hosted LLM. Managed LLM applies to all generative AI features as part of the [Sisense Credits](https://docs.sisense.com/main/SisenseLinux/l2026-2-release-notes.md#Sisense) service. Sisense credits are only available for Sisense managed cloud customers (contact your Sisense account team).
- **BYO-LLM:** Customers supply their own LLM (OpenAI or Azure OpenAI) for all features except Narrative which requires a separate license. The LLM API keys are configured directly by the customer.

## Data Sent to the LLM

- User prompts submitted through the assistant
- Datasource semantic metadata (e.g., field names or descriptions)
- Aggregated query result set
- Sample column values & statistics (e.g., uniqueness, row count and range)

|  |  |  |  |  |  |
| --- | --- | --- | --- | --- | --- |
| Feature | Train on your data | User prompt | Datasource semantic metadata | Agg. query result set | Sample column values & statistics |
| Explanations | - | - | - | - | - |
| Forecast | - | - | - | - | - |
| Trend | - | - | - | - | - |
| Exploration Paths | - | - | - | - | - |
| Simply Ask (Legacy NLQ) | - | - | - | - | - |
| Assistant | - | ✅ | ✅ | - | - |
| Narrative | - | - | - | ✅ | - |
| Semantic Enrichment | - | - | ✅ | - | ✅ |
| Smart Value Matching | - | - | - | - | - |