Batched Semantic Embeddings
POST/batch_semantic_embed
Embeds multiple prompts using a specific model and semantic embedding method. Resulting vectors that can be used for downstream tasks (e.g. semantic similarity) and models (e.g. classifiers). To obtain a valid model, use GET
/model-settings
.
Request
Responses
- 200
OK