The Web Search API of Boca AI Open Platform is its core functionality, which mainly provides the following features:
search function
- Hybrid Search: Supports both keyword search and semantic search
- Structured Returns: Results are presented in a standardized JSON format
parameter control
- time scale: Set different time filtering conditions such as oneDay/oneWeek/oneMonth/oneYear/noLimit by using freshness parameter.
- Number of results: The count parameter controls the number of result entries returned.
- Abstract Generation: The summary parameter requests a short summary of the search results.
Development Friendliness
- Multiple Calling Methods: Support for command line (curl) and programming language (e.g., Python) invocations
- Large model optimization: The return data structure is designed for AI processing and contains clear fields such as title/url/summary.
- fast response time: Provide real-time web search results for time-sensitive application scenarios
With these features, developers can easily add real-time web search capabilities to AI apps for a variety of information retrieval needs.
This answer comes from the articleBocha AI Open Platform: real-time search API for AI applicationsThe
May not be reproduced without permission:AI productivity tools " What are the main features of the Web Search API of the Boca AI Open Platform?
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