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, QA, Production |
| azureopenai |
* |
|
Same models as openai, configure the associated URL endpoints |
Beta, QA, 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, QA, 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, QA, 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, QA, Production |
| cohere |
embed-english-v3.0
embed-multilingual-v3.0
embed-english-light-v3.0
embed-multilingual-light-v3.0 |
Yes
No
No
No |
1024 dimensions except for the "light" models using 384. |
Beta, QA, Production |
| pinecone(2) |
multilingual-e5-large
llama-text-embed-v2 |
No
No |
1024 dimensions. |
Beta, QA |
(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.