Tei Embeddings Node
AI-generatedSummary
Generates embedding vectors from text input using the Tei embeddings API.
Inputs
- Node Type (required) — A hidden parameter specifying the node type (default: 'embedding').
Output shape
An array of embedding vectors corresponding to the input text.
The node expects input text from a previous node's item data. It returns a list of vectors; if the response does not contain any vectors, it throws an error.
Examples
Example 1: Converting a single sentence into a vector representation for semantic search.
Input text from a previous node is sent to the configured Tei endpoint, returning a single embedding array.
Example 2: Batch processing multiple documents to compare their similarity.
Multiple text items from the input stream are processed to generate a list of corresponding vectors.