Teaser for COD#6 How To Create Powerful and Secure AI Agents with RavenDB's CEO, Oren Eini | RavenDB

Here's a short teaser from the Q&A session following the full webinar demo featuring Oren Eini, CEO and Founder of RavenDB. Watch the full live demo and deep dive here: https://youtu.be/jzUxL9P17G4 Most AI agents are a security nightmare because they require direct access to your infrastructure. In this clip, Szymon Kulec reacts to a demo by Oren Eini showing how RavenDB flips the script: the database acts as the gatekeeper to the LLM, not the other way around. With just 7 lines of code, you can build automated chains that are: ✅ Natively Secure: Parameters are enforced by the database, not trusted to the model. ✅ Context Aware: Agents query your data and execute business actions safely. ✅ Production Ready: Managed memory, token-aware summarization, and full audit trails. Stop choosing between innovation and safety. Watch the full deep dive to see exactly how these guardrails are built. -- 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/getting-started/ 💻 GitHub Samples: https://github.com/ravendb/ravendb 🤝 Discord Community: https://discord.com/invite/ravendb 💼 LinkedIn: https://il.linkedin.com/company/ravendb 🗨️ X: https://x.com/RavenDB #ravendb #nosql #workshop #dotnet10 #aiagents #vectorsearch #cloudcosts #databasesecurity #dataarchitecture #softwareengineering #s3 #blobstorage #etl #datamigration #json #blobstorage #s3 #dotnet #databasemanagement #softwarearchitecture #vectorsearch #aiagents #generativeai #rag #acid #dataarchitecture #distributedsystems #databasemanagement #edgecomputing #datasecurity #fulltext