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Bocha is a multimodal AI search engine designed specifically for artificial intelligence applications to connect with global knowledge. It provides clean, accurate, and high-quality search results that can be integrated into various AI systems via its open API platform. Unlike traditional search engines, Bocha focuses on enabling AI agents to retrieve information using natural language queries across multiple modalities, including text, images, and potentially other data types. The platform offers a collection of specialized AI agents, each tailored for specific search domains. For example, the restaurant search agent uses data from Amap (a major Chinese mapping service) to find dining options based on natural language descriptions like "noodle shops near Hangzhou Longhu Xixi Tiandi." Similarly, the hotel search agent locates accommodations using phrases such as "hotels near Hangzhou Xixi," and the scenic spot search agent helps discover attractions with queries like "attractions in Yuhang District, Hangzhou." Beyond local search, Bocha provides access to the Tencent Wenku document database, which contains hundreds of millions of documents, including workplace templates, exam papers, resume templates, and contract agreements, all searchable via natural language. The platform also includes a flight search agent that supports domestic flight queries using natural language, such as "flights from Beijing to Shanghai tomorrow." For academic research, the academic search agent allows users to search a global database of millions of scholarly papers, supporting queries like "Attention is all you need." Bocha integrates multiple large language models, including DeepSeek-R1, Doubao, and Tongyi, allowing users to choose the underlying AI model for their search tasks. The platform
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