{"published":"2023-12-16 10:00:00","url":"https://tech.revcomm.co.jp/gcp-vertex-ai-chatbot-knowledge-search","width":"100%","author_name":"zoetaka38","version":"1.0","provider_url":"https://hatena.blog","title":"Vertex AI\u3068ChatGPT\u3067\u793e\u5185\u30ca\u30ec\u30c3\u30b8\u3092\u691c\u7d22\u3067\u304d\u308b\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u3092\u4f5c\u3063\u3066\u307f\u305f","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/r/revcomm-tech/20231216/20231216100026.png","categories":["GCP","\u50cd\u304d\u65b9","\u3084\u3063\u3066\u307f\u305f"],"blog_title":"RevComm Tech Blog","provider_name":"Hatena Blog","height":"190","author_url":"https://blog.hatena.ne.jp/zoetaka38/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftech.revcomm.co.jp%2Fgcp-vertex-ai-chatbot-knowledge-search\" title=\"Vertex AI\u3068ChatGPT\u3067\u793e\u5185\u30ca\u30ec\u30c3\u30b8\u3092\u691c\u7d22\u3067\u304d\u308b\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u3092\u4f5c\u3063\u3066\u307f\u305f - RevComm Tech Blog\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","description":"\u306f\u3058\u3081\u306b \u3053\u3093\u306b\u3061\u306f\u3002 RevComm\u3067Corporate Engineering\u30c1\u30fc\u30e0\u304a\u3088\u3073Full Stack\u30c1\u30fc\u30e0\u3067\u6d3b\u52d5\u3057\u3066\u3044\u308b\u5ddd\u6dfb\u3067\u3059\u3002 \u793e\u5185\u306e\u60c5\u5831\u7ba1\u7406\u3001\u3046\u307e\u304f\u3067\u304d\u3066\u3044\u308b\u3067\u3057\u3087\u3046\u304b\uff1f\u30eb\u30fc\u30eb\u3084\u30ca\u30ec\u30c3\u30b8\u3092\u5171\u6709\u3057\u3042\u3063\u3066\u3044\u308b\u3051\u308c\u3069\u3082\u3001\u904e\u53bb\u306b\u8a71\u3057\u305f\u5185\u5bb9\u3092\u4f55\u5ea6\u3082\u78ba\u8a8d\u3057\u3042\u3063\u3066\u3044\u308b\u3001\u904e\u53bb\u306e\u60c5\u5831\u3092\u3046\u307e\u304f\u691c\u7d22\u3067\u304d\u306a\u3044\u3001\u306a\u3069\u306e\u554f\u984c\u304c\u8d77\u304d\u3066\u306a\u3044\u3067\u3057\u3087\u3046\u304b\uff1f \u3069\u306e\u4f1a\u793e\u3067\u3082\u3053\u306e\u3088\u3046\u306a\u554f\u984c\u306f\u8d77\u304d\u3066\u3044\u308b\u304b\u3068\u601d\u3044\u307e\u3059\u304c\u3001RevComm\u3067\u3082\u3084\u306f\u308a\u8d77\u304d\u3066\u3044\u307e\u3059\u3002 \u4eca\u56de\u306f\u3001\u305d\u306e\u3088\u3046\u306a\u554f\u984c\u306b\u5bfe\u3059\u308b\u4e00\u3064\u306e\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u3068\u3057\u3066\u3001 RAG (Retrieval-Augmented Generation) \u3092\u7528\u3044\u305f\u30ca\u30ec\u30c3\u30b8\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u2026","blog_url":"https://tech.revcomm.co.jp/","type":"rich"}