Multimodal Search
Image Similarity Search
Find similar images with diversity using SigLIP (768-d). Supports both text and image queries.
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Pipeline Stages
1
image_search
filter
feature_searchView parameters
{
"searches": [
{
"feature_uri": "mixpeek://image_extractor@v1/google_siglip_base_v1",
"query": {
"input_mode": "content",
"value": "{{INPUT.image_url}}"
},
"top_k": 100,
"on_empty": "skip"
},
{
"feature_uri": "mixpeek://image_extractor@v1/google_siglip_base_v1",
"query": {
"input_mode": "text",
"value": "{{INPUT.text_query}}"
},
"top_k": 100,
"on_empty": "skip"
}
],
"final_top_k": 50,
"fusion": "rrf"
}2
diversity_filter
sort
mmrView parameters
{
"lambda_": 0.6,
"top_k": 20
}Input Schema
image_urlimage
Query image (URL or base64). Provide this, text_query, or both.
e.g. https://example.com/photo.jpg
text_querytext
Text description of the image to find. Provide this, image_url, or both.
e.g. red sports car at sunset
Use Cases
- Visual similarity search
- Reverse image lookup
- Product image matching
- Duplicate detection
Requirements
- Collection must have image embeddings indexed
Tags
image
visual
similarity
siglip
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