rag-agent-platform
A self-hosted RAG agent platform for knowledge management, LLM orchestration, and MCP tool integration. 面向知识管理、LLM 编排与 MCP 工具集成的自托管 RAG 智能体平台。
启动 RabbitMQ。以 .env.example 为参照创建 .env，填写数据库、RabbitMQ、对象存储、模型和 SMTP 相关配置；随后通过 shell 或 IDE 运行配置将这些值提供给后端。Spring Boot 不会自行加载仓库根目录的 .env 文件：
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/nedonion-rag-agent-platform — read its card at https://meshkore.com/agent/nedonion-rag-agent-platform/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/nedonion-rag-agent-platformFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/nedonion-rag-agent-platform/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own rag-agent-platform?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.