Atoms 官方最新动态:Cloudflare AI Search: Search Your Data Without Losing Sources

ADK Atoms官方 / ADK编译 2026-10-13T00:00:00.000Z 3分钟 142 次浏览
速览导读 / Summary

Cloudflare AI Search is a managed search service for application and agent data. Start an evaluation with a small owned corpus, explicit source metadata and questions whose answers you can check. A us

官方发布 2026-10-13T00:00:00.000Z 官网即时同步

Key Insights / 核心看点

  • 1 Cloudflare AI Search is a managed search service for application and agent data.

Atoms 官方最新动态:Cloudflare AI Search: Search Your Data Without Losing Sources

来源:Atoms 官方动态 | 发布日期:2026-10-13T00:00:00.000Z

核心更新概览

Cloudflare AI Search is a managed search service for application and agent data. Start an evaluation with a small owned corpus, explicit source metadata and questions whose answers you can check. A us

详细内容记录

Cloudflare AI Search is a managed search service for application and agent data. Start an evaluation with a small owned corpus, explicit source metadata and questions whose answers you can check. A useful result should point to the right document and respect the caller's access scope. Fluent generated text is not enough when a user needs a reliable answer from private records. current AI Search documentation describes indexing, hybrid retrieval, metadata filtering and agent-facing capabilities. Use that documentation for the available product contract. Treat this guide's corpus and evaluation examples as a proposed workflow, not a report of a tested integration. Decide what belongs in the searchable corpus Choose material you own or are authorized to use. A product-help corpus might contain published support articles, versioned feature documentation and approved troubleshooting notes. A private employee corpus has different access requirements and should not be mixed into the same public result stream by convenience. For every document, preserve an identifier, title, source URL, owner, version, language and access scope. Record the date on which it was last checked. These fields help your application select current material and explain where an answer came from. Avoid indexing drafts as though they were approved policy. A proposed refund rule and the current refund rule may contain similar language while implying different actions. Preserve approval state as metadata and define which states are eligible for each search experience. The retrieval setup should reflect the business distinction rather than asking the model to guess it. Keep retrieval and answering separate

更多技术细节可访问官方原文:https://atoms.dev/blog/cloudflare-ai-search-private-data-guide。

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