Overview
The Knowledge Base Add Node adds text content to knowledge bases (document indexes) where it will be processed, embedded, and made available for semantic search. This node enables you to:- Add plain text content to knowledge bases
- Create searchable documents from workflow data
- Build dynamic knowledge bases from processed information
- Index content for later retrieval by AI agents
- Optionally wait for indexing to complete
Configuration Parameters
Node Configuration
- Knowledge Base: Select the knowledge base (document index) to add the content to. Knowledge bases must be created beforehand in your account.
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File Content:
The plain text content to add to the knowledge base. Supports format strings from workflow inputs.
{extracted_text}
Summary: {llm_output}
Customer feedback received on {date}: {feedback_content}
Advanced Settings
Advanced Settings
- File Name Prefix: Optional prefix for the generated filename (timestamp will be appended automatically)
- Wait for indexing to complete: When enabled, the node waits until the content is fully indexed before continuing (may take longer)
Expected Inputs and Outputs
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Inputs:
- The node accepts text input that can be referenced in the file content
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Outputs:
- result: Status message confirming the content was added
- item_id: The ID of the created document item in the knowledge base
Use Case Examples
- Dynamic Knowledge Building: Automatically add processed information, summaries, or extracted data to knowledge bases for later AI-powered retrieval.
- Customer Feedback Indexing: Index customer feedback and support tickets into knowledge bases for semantic search and analysis.
- Documentation Generation: Create searchable documentation by adding generated content or processed information to knowledge bases.
Error Handling and Troubleshooting
- Knowledge Base Not Found: Ensure the selected knowledge base exists and you have permission to add content to it.
- Indexing Timeout: If waiting for indexing, very large content may take time to process. Consider breaking content into smaller chunks.
- Content Size: Extremely large text content may need to be split into multiple documents for optimal search performance.