Recursive Character Text Splitter
Recursive Character Text Splitter
Section titled “Recursive Character Text Splitter”Breaks down text into smaller parts.
What it does
Section titled “What it does”Splits text intelligently by trying multiple separators (paragraphs, sentences, words) to maintain context.
When to use it
Section titled “When to use it”Connect this to indexer nodes for better text chunking that preserves semantic meaning and document structure.
Inputs and settings
Section titled “Inputs and settings”| Setting | Notes |
|---|---|
| Chunk Size | Source-backed field from the node schema. |
| Chunk Overlap | Source-backed field from the node schema. |
| Separators | Source-backed field from the node schema. |
| Language | Source-backed field from the node schema. |
Outputs
Section titled “Outputs”Returns a text splitter dependency used before indexing or retrieval.
Dependencies and credentials
Section titled “Dependencies and credentials”- No explicit credential or node dependency is declared in the node description.
Example workflow
Section titled “Example workflow”Connect Recursive Character Text Splitter to an AI agent or dependency input that accepts this dependency type, then run the agent with data from previous nodes.
Troubleshooting
Section titled “Troubleshooting”- Check that required settings are present before running the node.
- If the node uses browser page data, run it on the target tab after the page has loaded.
- If it calls an external service, verify credentials, permissions, and rate limits.
- This node has source tests; use them as the reference for edge-case behavior during maintenance.