{"author_name":"ywchen","url":"https://techblog.ap-com.co.jp/entry/2024/06/15/212344","blog_url":"https://techblog.ap-com.co.jp/","provider_url":"https://hatena.blog","provider_name":"Hatena Blog","published":"2024-06-15 21:23:44","type":"rich","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftechblog.ap-com.co.jp%2Fentry%2F2024%2F06%2F15%2F212344\" title=\"Databricks Vector Search: What, Why and How - APC \u6280\u8853\u30d6\u30ed\u30b0\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","author_url":"https://blog.hatena.ne.jp/ywchen/","height":"190","categories":["Databricks_EN","Databricks","DAIS2024"],"version":"1.0","description":"Preface As recently highlighted by Sonali, a recent Computer Science graduate from New York University, traditional keyword-based search methods often fall short in fully capturing the intent and relevance of a user\u2019s queries, frequently yielding fragmented and sometimes irrelevant results. This lim\u2026","width":"100%","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/a/apc_watanabe/20240607/20240607105046.png","title":"Databricks Vector Search: What, Why and How","blog_title":"APC \u6280\u8853\u30d6\u30ed\u30b0"}