dify-docs/en/guides/workflow/node/README.md

Node Description

Nodes are the key components of a workflow, enabling the execution of a series of operations by connecting nodes with different functionalities.

Core Nodes

Start	Defines the initial parameters for starting a workflow process.
End	Defines the final output content for ending a workflow process.
Answer	Defines the response content in a Chatflow process.
Large Language Model (LLM)	Calls a large language model to answer questions or process natural language.
Knowledge Retrieval	Retrieves text content related to user questions from a knowledge base, which can serve as context for downstream LLM nodes.
Question Classifier	By defining classification descriptions, the LLM can select the matching classification based on user input.
IF/ELSE	Allows you to split the workflow into two branches based on if/else conditions.
Code Execution	Runs Python/NodeJS code to execute custom logic such as data transformation within the workflow.
Template Transformation	Enables flexible data transformation and text processing using Jinja2, a Python templating language.
Variable Aggregator	Aggregates variables from multiple branches into one variable for unified configuration of downstream nodes.
Parameter Extractor	Uses LLM to infer and extract structured parameters from natural language for subsequent tool calls or HTTP requests.
Iteration	Executes multiple steps on list objects until all results are output.
HTTP Request	Allows sending server requests via the HTTP protocol, suitable for retrieving external results, webhooks, generating images, and other scenarios.
Tools	Enables calling built-in Dify tools, custom tools, sub-workflows, and more within the workflow.