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    Sentence Similaritytransformersapache-2.0

    bm25

    by Qdrant

    953Kdl/month
    31likes
    Identifier
    Model ID
    Qdrant/bm25

    Tags

    transformerssentence-similarityenlicense:apache-2.0endpoints_compatibledeploy:azureregion:us

    Use bm25 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, bm25 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.