There are 77 nodes that can be used as successor
for a node with an output port of type Python Binary.
Simple RNN layer.
Enables interactive, multi-turn conversations with an AI agent that uses tools and data to fulfill user prompts.
Combines a chat model with a set of tools to form an agent and prompts it with a user-provided prompt.
Combines an agent with a set of tools and prompts it with a user-provided prompt.
Creates an agent that utilizes the function calling feature of (Azure) OpenAI chat models.
Generates a test set for evaluating a RAG system.
Evaluate the performance of GenAI workflows with Giskard.
Evaluates a RAG system with Giskard.
Select an LLM provided by the Anthropic API.
Select an Azure OpenAI embedding model.
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