The Easy Way to Chain AI Sub-Agents 🧠 #subagents #aiagents

Stop overcomplicating multi-agent AI systems with glue code and external context managers. 🤖 Learn how to build bounded AI agents using sub-agent APIs while letting your database manage the entire conversation lifecycle, context propagation, and boundary enforcement seamlessly. What you will discover in this breakdown: 1. How to chain specialized sub-agents together without losing conversation context. 2. How to run hybrid workloads—combining regular queries, vector search, and full-text search—within a single database engine. 3. How Szymon Kulec (Lead Dev Advocate) eliminates agent-state management overhead for developers. 👇 Watch the full masterclass & see the architecture in action: https://youtu.be/QxGYSfNrT5U -- About RavenDB RavenDB is a multi-model NoSQL document database trusted by thousands of companies worldwide, built for teams that need to move fast without sacrificing stability. It includes ACID transactions, auto-indexing, secure clustering, and support for documents, time-series, vector search, and native AI features out of the box. Designed to reduce operational complexity, RavenDB helps developers build and run modern applications with confidence. 🌐 Learn more: https://ravendb.net 🚀 Get Started for Free: https://ravendb.net/download ☁️ RavenDB Cloud: https://cloud.ravendb.net 📖 Technical Documentation: https://docs.ravendb.net/7.2/start/ge... 💻 GitHub Samples: https://github.com/ravendb/ravendb 🤝 Discord Community: / discord 💼 LinkedIn: / ravendb 🗨️ X: https://x.com/RavenDB #SoftwareEngineering #AIAgents #DatabaseArchitecture #NoSQL #ArtificialIntelligence #SystemDesign #subagents