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    Hybrid Search

    Hybrid Text + Multimodal Search

    Combines text embeddings with multimodal embeddings using weighted fusion for comprehensive retrieval across modalities.

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    Pipeline Stages

    1
    hybrid_search
    filter
    feature_search
    View parameters
    {
      "searches": [
        {
          "feature_uri": "mixpeek://text_extractor@v1/multilingual_e5_large_instruct_v1",
          "query": {
            "input_mode": "text",
            "value": "{{INPUT.query}}"
          },
          "top_k": 100,
          "weight": 0.7
        },
        {
          "feature_uri": "mixpeek://multimodal_extractor@v1/vertex_multimodal_embedding",
          "query": {
            "input_mode": "text",
            "value": "{{INPUT.query}}"
          },
          "top_k": 50,
          "weight": 0.3
        }
      ],
      "final_top_k": 25,
      "fusion": "weighted"
    }

    Input Schema

    query
    text
    required

    Search query text

    e.g. machine learning algorithms

    Use Cases

    • Enterprise search
    • Technical documentation search
    • Cross-modal content retrieval

    Requirements

    • Collection must have text embeddings indexed
    • Collection must have multimodal embeddings indexed

    Tags

    hybrid
    text
    multimodal
    fusion

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