require 'google_search_results' params = { engine: "baidu", q: "Coffee", api_key: "secret_api_key" } search = GoogleSearch.new(params) organic_results = search.get_hash[:organic_results] JSON Example { "search_metadata": { "id": "5cfc676056794c051f463d6d", "status": "Success...
require 'google_search_results' params = { engine: "baidu", q: "Coffee", api_key: "secret_api_key" } search = GoogleSearch.new(params) answer_box = search.get_hash[:answer_box] JSON Example { ... "answer_box": [ { "position": 1, "title": "coffee - 百度翻译", "link":...
近期，我计划利用LangChain集成搜索引擎的反馈信息，结合LLM与query来解答问题。为了实现这一目标，我搜索了获取搜索引擎API接口的方法。与Bing搜索的体验相比，Google搜索结果的品质更为优越。因此，我查阅了申请Google搜索API的流程。借助SerpApi，我们能访问Google Search API，但需提前注册。免费版每月仅提供...
require 'google_search_results' params = { engine: "baidu", q: "Coffee", api_key: "secret_api_key" } search = GoogleSearch.new(params) video = search.get_hash[:video] JSON Example { ... "organic_results": [ { "position": 1, "title": "咖啡 - 百度百科", "link": "https...