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_searchView 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
querytext
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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