Legacy Embedding and Reranking Models
Mixedbread previously published standalone documentation for direct embedding and reranking APIs and for each open-source model generation. Those reference pages are no longer part of the current documentation, but the model artifacts and their technical release posts remain available.
Embedding modelsLink to section
| Model family | Release post | Resources |
|---|---|---|
mxbai-embed-large-v1 | Technical overview | Hugging Face |
mxbai-embed-2d-large-v1 | Technical overview | Hugging Face |
mxbai-embed-xsmall-v1 | Technical overview | Hugging Face |
deepset-mxbai-embed-de-large-v1 | Technical overview | Hugging Face |
mxbai-colbert-large-v1 | Technical overview | Hugging Face |
Reranking modelsLink to section
| Model family | Release post | Resources |
|---|---|---|
mxbai-rerank-*-v1 | Technical overview | Hugging Face |
mxbai-rerank-*-v2 | Technical overview | Hugging Face |
Current search workflowLink to section
For new managed-search integrations, start with Stores. Stores handle parsing, indexing, retrieval, and reranking as one workflow. See Store search for retrieval options and reranking for current model configuration.
If you maintain an integration with the earlier direct embedding or reranking APIs and need migration help, contact support@mixedbread.com.