博查万象
Product information, use cases, and access for 博查万象.
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What is 博查万象?
Bocha Wanxiang is a search platform built for AI applications, providing access to world knowledge through web search and semantic reranking APIs. Its natural-language search can retrieve information from web pages and other content sources across areas such as news, images, video, encyclopedic material, travel and accommodation, and academic content. The platform is intended for AI agents, chatbots, AI search experiences, and RAG applications that need external retrieval context.
Developers can integrate the capability through the official APIs, model tool calling, or plugins for agent-development platforms. Search results can be placed into an application’s answering, retrieval, or generation flow, while semantic reranking helps select candidates that are more relevant to the query. This makes the platform suitable for teams building connected AI products, custom workflows, or applications that need to initialize their data and retrieval layer.
Key features of 博查万象
Natural-language web search
The Web Search API accepts natural-language queries and returns structured results from web pages and broader content sources, making it suitable for supplying retrieval context to chatbots, agents, and RAG pipelines.
Semantic result reranking
The Semantic Reranker API applies a semantic ranking model to existing candidates, helping an application select documents that better match the user’s query after the initial retrieval stage.
Multimodal AI search
The platform combines multimodal hybrid search with semantic ranking for AI Search experiences, supporting retrieval across web, image, and video content along with generated answers, follow-up questions, and streaming output.
Flexible workflow integration
Search capabilities can be connected to custom applications or workflows through official APIs, model Function Calling, and plugins for agent-development platforms, supporting AI agents, chatbots, and connected search products.