OpenAI Embeddings
OpenAI Embeddings
Section titled “OpenAI Embeddings”Leverage OpenAI to use embeddings locally directly on your device
What it does
Section titled “What it does”Converts text into vector embeddings using OpenAI’s embedding models.
When to use it
Section titled “When to use it”Connect this to indexer or RAG nodes when you need to create embeddings for semantic search and retrieval.
Inputs and settings
Section titled “Inputs and settings”| Setting | Notes |
|---|---|
| Model | Source-backed field from the node schema. |
Outputs
Section titled “Outputs”Returns an embeddings dependency for vector stores and retrieval workflows.
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 OpenAI Embeddings 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.
- No dedicated source test was found next to this node; verify behavior manually when changing this page.