metadata.json

{
    "title": "Recipe Search",
    "description": "Full text and semantic search on 5,000 recipes.",
    "databases": {
      "5k-recipes": {
        "source": "Recipe Dataset from Epicurious",
        "source_url": "https://github.com/josephrmartinez/recipe-dataset",
        "license": "CC BY-SA 3.0",
        "license_url": "https://creativecommons.org/licenses/by-sa/3.0/",
        "queries": {
            "semantic-search": {
              "hide_sql": false,
              "sql": "SELECT ROUND(CAST(json_extract(value, '$[1]') AS REAL), 3) AS score, r.Title, r.Ingredients, r.Instructions FROM json_each(faiss_search_with_scores('5k-recipes', 'recipe_embeddings', (SELECT openai_embedding(:query, :openai_api_key)), 10)) AS json_data JOIN recipes AS r ON r.id = CAST(json_extract(json_data.value, '$[0]') AS INTEGER) WHERE length(coalesce(:query, ''))>0;"
            }
          }
        }
    },
    "plugins": {
        "datasette-faiss": {
            "tables": [
                ["5k-recipes", "recipe_embeddings"]
            ]
        }
    }
  }