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Model Support by Feature

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The table provides an overview of the LLM providers supported by Cognigy.AI, detailing the standard models and their compatibility with Cognigy.AI features. You can also add a custom model that is not presented in the table. To do so, select the Custom Model parameter when creating a model and specify both the model type and name. For more information about adding a custom or standard model for a selected LLM provider, refer to the All LLM Providers page.

Models/
Cognigy.AI Features
 Intent Sentence Generation AI Enhanced Outputs Lexicon Generation Flow Generation GPT Conversation Node LLM Prompt Node Answer Extraction Knowledge Search Sentiment Analysis NLU Embedding Model Adaptive Card Generation
azure Microsoft Azure OpenAI
gpt-3.5-turbo (ChatGPT) (Legacy) + + + + + + + - + - +
gpt-3.5-turbo-instruct (Legacy) - - - - - + + - - - -
gpt-4 (Legacy) - - - - - + + - - - -
gpt-4o + + + + + + + - + - +
gpt-4o-mini + + + + + + + - + - +
text-embedding-ada-002 - - - - - - - + - - -
text-embedding-3-small1 - - - - - - - + - - -
text-embedding-3-large1 - - - - - - - + - + -
open-ai OpenAI
gpt-3.5-turbo (ChatGPT) (Legacy) + + + + + + + - + - +
gpt-3.5-turbo-instruct (Legacy) - - - - - + + - - - -
gpt-4 (Legacy) - - - - - + + - - - -
gpt-4o + + + + + + + - + - +
gpt-4o-mini + + + + + + + - + - +
text-embedding-ada-002 - - - - - - - + - - -
text-embedding-3-small1 - - - - - - - + - - -
text-embedding-3-large1 - - - - - - - + - + -
anthropic Anthropic
claude-3-opus - - - - - + + - - - -
claude-3-haiku - - - - - + + - - - -
claude-3-sonnet - - - - - + + - - - -
claude-v1-100k (Legacy) - - - - - + + - - - -
claude-instant-v1 (Legacy) - - - - - + + - - - -
google-vertex Google Vertex
text-bison-001 (Bard) - - - - - + + - - - -
google-gemini Google Gemini
gemini-1.0-pro - - - - - + + - - - -
alephalpha Aleph Alpha
luminous - - - - - + + - - - -
luminous-embedding-1282 - - - - - - - + - - -
amazon-bedrock Amazon Bedrock
Converse API-compatible models - - - - - + + - - - -

More Information

  1. For Knowledge AI, we recommend using text-embedding-ada-002. However, if you want to use text-embedding-3-small and text-embedding-3-large, make sure that you familiarize yourself with the restrictions of these models in Which Model to Choose? ↩↩↩↩

  2. This feature is currently in Beta and may contain issues. Only one type of embedding LLM should be used per project. If you choose to use luminous-embedding-128, you must create a new project. Once you have chosen an embedding model for a project, you cannot switch to a different embedding model; you must use a different project. Failing to do so will result in errors while this feature is in Beta. ↩