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