From CRUD to AI Agents How To Build a Telegram Bot with Vector Search in 200 Lines of Code | RavenDB

Want to see how modern applications handle complexity, scale, and cutting-edge features without becoming unmanageable? In this deep-dive webinar, we move From CRUD to AI Agents, showcasing how RavenDB, a high-performance document database, simplifies the development of a complex Property Management application. We cover the entire spectrum of application development: We start with Mastering Database Fundamentals, demonstrating how RavenDB handles ACID transactions, change tracking, and the Unit of Work pattern with minimal code. Learn to optimize performance using the Include keyword to minimize server round trips when fetching related documents. We dive into advanced querying, including RQL (Raven Query Language), strong-typed LINQ, and powerful Spatial Queries for filtering by location. We also look at how RavenDB creates and manages indexes automatically. Next, we look at Integrating Next-Gen Features. See how RavenDB easily handles rich, complicated JSON document structures. We explore the dedicated Time Series Data type, showing how to efficiently store and aggregate high-volume data like utility usage (kilowatt-hours, gallons). Finally, we arrive at The AI Transformation. Witness the simplicity of building a functional Telegram Bot using RavenDB’s native AI Agent capabilities, all in under 200 lines of code. The AI Agent utilizes Vector Search to understand natural language requests (for example, "leaky faucet") and turns them into actionable service requests. Learn about AI Tasks and Subscriptions, showing how RavenDB can process uploaded images and notify the system via an event-driven architecture. This is a complete roadmap for developers looking to build robust, simple, and future-proof applications today. -- 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