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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.

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