Generate sparse embeddings
Chroma Cloud Embeddings API
Generate sparse embeddings
Generate sparse vector embeddings for the given texts using the specified model. Provide either ‘instructions’ or both ‘task’ and ‘target’ alongside ‘texts’. Set ‘fetch_labels’ to true to include token labels in the response.
POST
Generate sparse embeddings
Documentation Index
Fetch the complete documentation index at: https://docs.trychroma.com/llms.txt
Use this file to discover all available pages before exploring further.
Headers
Chroma API key for authentication.
The embedding model to use.
Available options:
Qwen/Qwen3-Embedding-0.6B, BAAI/bge-m3, sentence-transformers/all-MiniLM-L6-v2, prithivida/Splade_PP_en_v1, naver/efficient-splade-VI-BT-large-doc, naver/efficient-splade-VI-BT-large-query Body
application/json