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Semantic Search
Search a menu by intent, not keywords. The model handles typos, abstract queries, and cross-lingual terms across 100+ languages.
88 msAPI
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3 resultscurated example
88 msAPIread as something spicy
What just happened
Abstract intent query. No keyword overlap with the corpus.
- Spicy Tom Yum Soupcosine 0.213relevance0.928
- Spicy Tuna Rollcosine 0.154relevance0.921
- Spicy Beef Tacoscosine 0.254relevance0.890
The bar is the reranker relevance score. The faint tick behind it is the raw cosine similarity.
Use this in your app
Pre-filled with your query and corpus. Drop in a key and run it.
curl -X POST https://dish-embed.latimal.com/search \
-H "X-API-Key: $LATIMAL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"query": "something spicy",
"corpus": [
"Margherita Pizza",
"Spicy Beef Tacos",
"Tonkotsu Ramen",
"Pad Thai",
"Falafel Plate",
"Spicy Tuna Roll",
"Pho Bo",
"餃子",
"Cheeseburger",
"Gelato",
"دجاج شاورما",
"비빔밥",
"Green Papaya Salad",
"Spicy Tom Yum Soup",
"Iced Latte",
"Fresh Lemonade",
"Garlic Bread",
"Tiramisu",
"Chili Chicken Wings",
"Mango Smoothie"
],
"top_k": 8
}'Search your real catalog
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