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Tags: LLM tools
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TranslatedEnterprise-grade Agentic RAG agent - full-pipeline coverage of document parsing, multi-channel retrieval, intent recognition, question rewriting, conversation memory, MCP tool calling, and deep thinking. Built for real business scenarios, a complete engineering implementation from 0 to 1.

基于 Spring Boot 4.1、Java 25、Spring AI 2.0、React、PostgreSQL/pgvector、Redis 和 RustFS 构建的开源 AI 面试平台,支持简历智能分析、模拟面试、语音面试和知识库 RAG。

🦎 A lightweight, streaming-native, multi-protocol gateway for AI, APIs, and real-time data. Route LLM requests across providers, govern MCP tools, and connect Kafka, MQTT, and HTTP through one high-performance engine with shared security and observability.

  • kafka
  • rest
  • server-sent-events
  • streaming-api