Technical Implementation and Application Value of Web Search API
As the core component of BOCA platform, Web Search API adopts a hybrid search technology framework, supporting both keyword search and semantic search modes. Its technical architecture includes a distributed crawler system, a near real-time indexing engine and an intelligent summary generation module, which can return structured search results within millisecond response time.
The API features three key innovations:
- Supports time sensitivity parameter (freshness) to accurately filter outdated information by day/week/month/year.
- Built-in summary generation function (summary parameter) to directly output streamlined content suitable for large model processing
- Controllable number of results (count parameter) to avoid information overload affecting AI processing efficiency
Developers can integrate this functionality through a simple RESTful interface, as shown in the Python code example, which enables professional-grade search capabilities in only about 10 lines. This design dramatically lowers the threshold for AI applications to access real-time knowledge.
This answer comes from the articleBocha AI Open Platform: real-time search API for AI applicationsThe
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