> For the complete documentation index, see [llms.txt](https://docs-conversational-ai.syntphony.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs-conversational-ai.syntphony.com/language-models/overview.md).

# Overview

Understand the cognitive technologies available in Syntphony CAI and how to choose and configure them for your projects.

Syntphony CAI supports both **Large Language Models (LLMs)** and **Natural Language Understanding (NLU) engines**, providing different cognitive technologies to understand user input and power conversational experiences.

**LLMs** enable generative capabilities such as contextual understanding, reasoning, instruction following, orchestration, and natural language generation. **NLU engines**, such as Syntphony NLP, provide intent-based language understanding for structured conversational flows.

## Default integrations

When a project is created, Syntphony CAI provides a default cognitive integration according to the selected **governance type**:

* **Agentic and Composite governance:** **Azure OpenAI by Syntphony** is provided by default.
* **NLU governance:** **Syntphony NLP**, NTT DATA's proprietary NLU engine, is provided by default.

You can use the default integration or configure another **LLM or NLU provider** available in Syntphony CAI, depending on your project's architecture and requirements.

In this section, you'll learn how to **configure LLM and NLU providers, select models, and adjust the available settings** for your projects.


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