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🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：

A self-hostable, extensible AI agent platform: sandboxed tool execution, multi-tenant governance (JWT/quotas/rate limits/audit), a canonical trajectory log, an eval harness with scoring and A/B, an RL data flywheel (rollout→reward→SFT/RLVR JSONL), and protocol-level tool…

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy.

A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.

🏆 Real-Time no-code, powerful and secure ORM 🚀 providing APIs and Docs without coding by Backend, and Frontend(Client) can customize response JSONs 🏆 实时 零代码、全功能、强安全 ORM 库 🚀 后端接口和文档零代码，前端(客户端) 定制返回 JSON 的数据和结构