Multimodal search
The homepage clearly states that the product is a “multimodal AI search,” making it suitable for search tasks that need to handle different content types.
博查AI搜索 is a multimodal search engine for AI apps, helping developers and agents access external knowledge and search results.
Bocha AI Search is a search engine for AI applications. The homepage positions it as “multimodal AI search, with richly varied answers.” Its core role is to help AI systems connect to knowledge from the external world and return cleaner, more accurate, high-quality search results.
From the public pages, it appears to offer entry points for both end-user search and developer integration: the homepage shows AI Search, AI Agents, AI Open Platform, API developer documentation, and a login entry, indicating that the product can be used both as a search capability and as an integrable search service.
The homepage clearly states that the product is a “multimodal AI search,” making it suitable for search tasks that need to handle different content types.
The product description emphasizes that it is a “search engine for AI,” designed to provide callable search results for AI applications.
The page shows entry points for search APIs and developer documentation, indicating that developers can integrate the search capability into their own applications.
The homepage mentions search results that are “clean, accurate, and high quality,” emphasizing the usability and organization of retrieved output.
The page lists search scenarios such as restaurants, hotels, attractions, flights, and academic use cases, showing coverage across multiple query types.
The homepage mentions natural-language search, such as queries like “ramen shops near me” and “flights from Beijing to Shanghai tomorrow.”
Add search capabilities to chatbots, agents, or other AI applications so the model can answer questions based on external knowledge instead of relying only on built-in parameters.
Search for local dining, hotel, or attraction information in natural language, suitable for products or assistants that need to turn user intent directly into search requests.
Retrieve domestic flight information, suitable for travel planning, itinerary assistants, or the real-time search step in comparison workflows.
Find academic documents and paper references, suitable for research assistance, literature retrieval, or learning-oriented AI tools.
Embed search capabilities into internal tools, agents, or other product workflows through the open platform and API developer documentation.
Bocha AI Search is aimed at scenarios that need search capabilities integrated into AI applications. The page shows that it provides an “AI search engine for AI use” and an “AI Search API,” and supports multimodal AI search.
The page shows search entry points for restaurants, hotels, attractions, flights, and academic documents, and also mentions that searches can be initiated in natural language.
The homepage explicitly shows “Call the search API from the Bocha AI Open Platform” and “Bocha Search API developer documentation,” indicating that it provides API and documentation entry points for developers.
No pricing page content is visible on the public site right now, and `/pricing` returns 404, so pricing or plan structure cannot be confirmed from the source.
Traffic data is for reference only.
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