texts_field string required default: "texts" Embeds a batch of texts with the configured provider, returns vectors + dim.
Converts plain text into vectors (a list of numbers that represent its meaning).
Takes text and uses an AI embedding model to generate its mathematical coordinates.
Useful for comparing how similar two texts are or for storing information in a vector database manually.
| name | type |
|---|---|
texts | string | string[] |
| name | type |
|---|---|
vectors | array |
dim | number |
count | number |
model | string |
provider | string |
out — Output texts_field string required default: "texts" input_type "document" | "query" required default: "query" memory_key string optional {
"texts_field": "texts",
"input_type": "query"
} This node does not publish events on the pubsub channel.