List of supported embeddings models
Provider |
Model |
Multimodal |
Description |
Environment Support |
openai |
text-embedding-ada-002 text-embedding-3-small text-embedding-3-large |
No No No No |
Must set dimensions to 1536, other values are not enabled by default(1) |
Beta, Production |
azureopenai |
* |
|
Same models as openai, configure the associated URL endpoints |
Beta, Production |
google/googlevertexai/vertex_ai(3) |
multimodalembedding@001(2) text-embedding-004 text-embedding-005 text-multilingual-embedding-002
|
Yes No No No |
The dimension parameter must be configured to 768(1) or 1408(2) |
Beta, Production |
awsbedrock |
amazon.titan-embed-image-v1 cohere.embed-english-v3 amazon.titan-embed-v2 cohere.embed-english cohere.embed-multilingual |
Yes Yes No Yes No |
Check the model dimensions configuration(1) |
Beta, Production |
nvidia |
baai.bge-m3 nv-embed-v1 nvclip embed-qa-4 nv-embedqa-e5-v5 snowflake.arctic-embed-l nv-embedqa-mistral-7b-v2 |
No No Yes No No No No |
Check the model dimensions configuration(1) |
Beta, Production |
cohere |
embed-english-v3.0 embed-multilingual-v3.0 embed-english-light-v3.0 embed-multilingual-light-v3.0 embed-v4.0(4) |
Yes No No No Yes |
1024 dimensions except for the "light" models using 384, embed-v4.0 supports 256, 512, 1024, 1536 (default) |
Beta, Production |
pinecone(2) |
multilingual-e5-large llama-text-embed-v2 |
No No |
1024 dimensions. |
Beta |
mistral |
mistral-embed codestral-embed |
No No |
1024 dimensions. 1536 dimensions by default (maximum value: 3072) |
Beta |
(1) - For On-premises installations, the associated module must be installed and configured.
(2) - The configuration must be done in the Retrieval tab by configuring the Profile Metadata parameter. For more information, refer to Not registered Providers and Models. Please note that the associated Embeddings costs are not recorded, and no related Requests are logged as they are processed by the provider.
(3) - Check the Provider recommendations.
(4) - Supported since June 2025 Release.