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    Models/Sentence Similarity/mixedbread-ai/mxbai-edge-colbert-v0-17m
    Sentence SimilarityPyLateapache-2.0

    mxbai-edge-colbert-v0-17m

    by mixedbread-ai

    Identifier
    Model ID
    mixedbread-ai/mxbai-edge-colbert-v0-17m

    Tags

    PyLateonnxsafetensorsmodernbertfeature-extractionColBERTsentence-transformerssentence-similaritygenerated_from_trainertransformersenarxiv:2510.14880arxiv:2510.12327license:apache-2.0model-indextext-embeddings-inferenceendpoints_compatibleregion:us

    Use mxbai-edge-colbert-v0-17m on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, mxbai-edge-colbert-v0-17m runs as a managed extractor inside a processing pipeline. Point a bucket of sentence similarity data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.