All LLM Providers
To add a standard or custom model, select a large language model (LLM) provider integrated with Cognigy.AI:
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Cognigy.AI provides a GPT-based LLM for setting up and testing design-time features.
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Add credentials for the predefined models, such as
gpt-4o
,gpt-4o-mini
, andtext-embedding
models, or a custom model based on an Azure OpenAI model. -
Add credentials for the predefined models, such as
gpt-4o
,gpt-4o-mini
, andtext-embedding
models, or add a custom model based on an OpenAI model. -
Add credentials for models from any providers that adhere to the OpenAI API standards, including HuggingFace, DeepSeek, xAI, Fireworks AI and others.
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Add credentials for the predefined models such as
claude-3-opus
,claude-3-sonnet
,claude-3-opus
, or add a custom model based on an Anthropic model. -
Add credentials for the predefined model
text-bison-001 (Bard)
or add a custom model based on a model from the Vertex AI family. -
Add credentials for the predefined model, such as
gemini-2.0-flash
andgemini-2.0-flash-lite
, or add a custom model based on a model from the Gemini family. -
Add credentials for the predefined models such as
luminous
andluminous-embedding-128
or add a custom model based on an Aleph Alpha model. -
Add credentials for the predefined models or add a custom model based on any Amazon Bedrock model that supports the Converse API.
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Add credentials for the predefined models, such as
mistral-large-2411
andpixtral-large-2503
, or add a custom model based on a Mistral AI model. -
Cognigy Nexus LLM is a proprietary LLM, provided and hosted by Cognigy, optimized for AI-driven customer service.
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The Platform-Provided LLM is available only to customers with SaaS installations. ↩