Search a database of recipes using hybrid semantic search (dense + sparse) with reranking.
The database contains ~50,000 recipes from Food.com covering a wide
range of cuisines, meal types, and cooking styles. Recipes include
nutritional information, difficulty ratings, and user ratings.
Use natural language in the query to describe what you are looking
for — cuisine, style, main ingredient, occasion, or mood all work
well. Norwegian and English are both supported natively. Examples:
'quick Italian pasta for weeknight dinner'
'Swedish meatballs with gravy'
'healthy high-protein chicken bowl'
'easy chocolate cake for beginners'
'something with salmon and lemon'
'Indian curry chicken'
'traditional Norwegian kjøttkaker'
'hurtig pasta med kylling'
'enkel sjokoladekake'
Args:
query: What you are looking for — describe the dish, cuisine,
main ingredient, cooking style or mood freely.
Any language is supported.
diet: Optional — filter by dietary requirement:
'vegetarian', 'vegan', 'gluten-free',
'dairy-free', 'low-carb', 'keto', 'paleo'
max_minutes: Optional — maximum total time in minutes, e.g. 30
difficulty: Optional — 'easy', 'medium' or 'hard'
servings: Optional — not used for filtering (servings vary),
but include in query for scaling context,
e.g. 'pasta dish for 6 people'
limit: Number of results to return after reranking
(default 5, max 20)
Returns:
List of recipes ranked by relevance. Each result includes
rerank_score, rrf_score (hybrid fusion), title, total_time,
difficulty, diet labels, ingredients, instructions, nutrition,
rating, and source URL context.
