Unverified50% confidenceFactExact time
The production-grade example backend uses Spring Boot, with DocumentProcessingController exposing a validated REST endpoint /api/v1/enterprise/documents/process that accepts documentRef and contentPayload, performs domain validation, and then triggers the AI/RAG analysis pipeline.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedSpringBoot registers hundreds of auto-configuration classes through the META-INF/spring.factories (or AutoConfiguration.imports after SpringBoot 2.7+) file, and each configuration class uses @ConditionalOn series annotations to determine whether it takes effect.65% similarUnverified在 Spring AI 2.0 实现中,ReAct 循环通过 ToolCallingAgent 类来管理,框架自动处理消息历史维护、工具调用结果注入及终止条件判断64% similarUnverifiedCRIU通过ptrace系统调用冻结目标进程,遍历其/proc文件系统条目,序列化内存页面、文件描述符、网络套接字和信号状态等CPU侧资源61% similarUnverifiedAfter a resume is uploaded, the system performs document parsing (supporting PDF, Word, and other formats) and extracts structured data such as work experience, project experience, and tech stack as context for the large model to generate questions.61% similarUnverifiedThe steps for migrating to production include: replacing the fixture loader with a webhook or CRM trigger; replacing the simulated intent field with structured model output; keeping the same validation, deterministic scoring, confidence thresholds, retry limit, trace IDs, and assertion tests.61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1069191API
curl https://kongchang.com/api/v1/knowledge/claims/1069191MCP
get_claim(id=1069191)