Dify 现在原生集成了 MongoDB Atlas 和 Voyage AI，做 RAG 不用自己拼基础设施了，还有现成模板，搞知识助手或推荐智能体更省事。
Dify 宣布 MongoDB Atlas 和 Voyage AI 原生接入其工作流。MongoDB Atlas 提供数据存储层，Voyage AI 通过嵌入和重排序提升检索质量。Dify 编排智能体和工作流层，用户无需自建基础设施即可构建 RAG 应用。MongoDB 团队还贡献了一个可直接使用的 RAG 模板，已上线 Dify 模板市场，帮助团队快速从想法到可运行应用。
AI agents are only as useful as the data they can reach and the quality of what they retrieve. That...
AI agents are only as useful as the data they can reach and the quality of what they retrieve. That’s why we’re excited to see MongoDB Atlas and Voyage AI now natively available inside Dify workflows. 🔹 MongoDB Atlas brings the data layer 🔹 Voyage AI sharpens retrieval with embeddings and reranking 🔹 Dify orchestrates the workflow and agent layer Together, builders can compose grounded RAG applications and data-aware agents without stitching together custom infrastructure. The @MongoDB team has also contributed a ready-to-use RAG template, now live in our Template Marketplace, that demonstrates the full retrieval workflow and helps teams move from idea to working application faster. From knowledge assistants and support copilots to recommendation agents and operational AI workflows, builders now have a clearer starting point for creating AI applications that work with real business data. Learn mor dify.ai/blog/grounding… ou #Dify i #MongoDB o #VoyageAI e #RAG R #AIAgents n #AIWorkflow low 💬 0 🔄 0 ❤️ 2 👀 402 ⚡