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Generative BI

GenBI Integrations

Large Language Models

Find the Perfect Fit for Your Needs

Pyramid has the ability to connect to multiple LLMs and even to bind a specific LLM to a particular data model. This ensures that the right LLM is used for the right kind of task, while also promoting future proofing and reducing dependency.

Pyramid’s Portable Language Model (PLM)

The Pyramid Internal engine is a “portable” language model (PLM). The built-in engine is very fast and does not need to be connected to external services to run. Pyramid’s PLM only supports English language “chats”, and its capabilities are limited compared to Large Language Models.

Third-Party LLM Engines

Choose your preferred LLM engine and integrate effortlessly. With an intuitive and centralized LLM Manager, you can configure different LLMs to different data models. This allows for the use of any LLM solution as the Generative AI market matures and becomes more specialized.

Sandboxed LLMs

IBM’s watsonx, is a versatile large language model that can be deployed on-premises, on private clouds, or in hybrid environments. Watsonx integration allows off-grid GenBI applications.
Learn more about IBM watsonx integration.

LLM Management

Pyramid’s LLM Manager allows admins to create and govern LLM providers within Pyramid. With the LLM Manager, admins can easily add, remove, or edit LLM providers from a single, user-friendly dashboard. We currently offer support for multiple LLM providers like WatsonX, Mistral 22B, Open.ai, Google Gemeni, Azure AI, and Azure 4o.

Generative BI Key Elements