NEWVectors or files. Pick a path.Start →
    Models/Feature Extraction/jinaai/jina-embeddings-v5-omni-small-text-matching
    Feature Extractiontransformerscc-by-nc-4.0

    jina-embeddings-v5-omni-small-text-matching

    by jinaai

    Identifier
    Model ID
    jinaai/jina-embeddings-v5-omni-small-text-matching

    Tags

    transformerssafetensorsqwen3_vl_audiofeature-extractionembeddingqwen3jina-embeddings-v5sentence-transformersmultimodalvisionaudiovllmvideoimage-feature-extractionaudio-feature-extractionvideo-feature-extractionsentence-similaritycustom_codemultilingualarxiv:2605.08384base_model:jinaai/jina-embeddings-v5-omni-smallbase_model:finetune:jinaai/jina-embeddings-v5-omni-smalllicense:cc-by-nc-4.0region:eu

    Use jina-embeddings-v5-omni-small-text-matching 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, jina-embeddings-v5-omni-small-text-matching runs as a managed extractor inside a processing pipeline. Point a bucket of feature extraction 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.