The RavenDB team will be at Microsoft Ignite in San Francisco next week, as will be yours truly in person 🙂. We are going to show off RavenDB and its features both new and old.

I'll be hosting a session demonstrating how to build powerful AI Agents using RavenDB.I’ll show practical examples and the features that make RavenDB suitable for AI-driven applications.

If you're at Microsoft Ignite or in the San Francisco area next week, I'd like to meet up.Feel free to reach out to discuss RavenDB, AI, architecture or anything else.

AI agents are only as powerful as their connection to data. In this session, Oren Eini, CEO and Co-Founder of RavenDB, demonstrates why the best place for AI agents to live is inside your database. Moderated by Ariel, Director of Product Marketing at RavenDB, the webinar explores how to eliminate orchestration complexity, keep agents safe, and unlock production-ready AI with minimal code.

You’ll see how RavenDB integrates embeddings and vector search directly into the database, runs generative AI tasks such as translation and summarization on your documents, and defines AI agents that can query and act on your data safely. Learn how to scope access, prevent hallucinations, and use AI agents to handle HR queries, payroll checks, and issue escalations.

Discover how RavenDB supports any LLM provider (OpenAI, DeepSeek, Ollama, and more), works seamlessly on the edge or in the cloud, and gives developers a fast path from prototype to production without a tangle of external services. This session shows how to move beyond chatbots into real, action-driven agents that are reliable, predictable, and simple to extend. If you’re exploring AI-driven applications, this is where to start.

Agents are here. But are we really in control?

The next RavenDB Community Discussion is tackling the hottest (and riskiest) trend in AI: Agentic Systems.

On September 8 at 18:00 CEST, join RavenDB CEO & Founder Oren Eini on Discord as he dives into:

• Why "building an agent" is not the first step in building an agent
• How developers can avoid losing control when building agentic apps
• A live demo of RavenDB's AI Agent Creator, the new feature in our expanding AI suiteAgents may be the new chapter in AI, but with RavenDB you can write it on your terms.When: Monday, September 8, 18:00 CESTWhere: RavenDB Developers Community Discord

On July 14 at 18:00 CEST, join us on Discord for COD#5, hosted by RavenDB performance wizardFederico Lois.

Based in Argentina and known for pushing RavenDB to its limits, Federico will walk us through:

• How we used GenAI to build a code analysis MCP (Model Context Protocol) server

• Why this project is different: it was built almost entirely by AI agents

• Tips for using AI agents to boost your own development velocity with RavenDB

If you’re building fast, scaling smart, or just curious how AI can do more than generate text, this is one to watch!

AI is changing how we build software. But with RavenDB, you don’t need to rebuild your stack to keep up.

Join us on June 30 for the next community discussion session with our Head of DevRel,Dejan Milicic, as we introduce GenAI, RavenDB’s new built-in AI feature.

Here’s what we’ll cover:

• Where AI truly belongs in your system architecture
• How to launch GenAI, define prompt data, and automate updates
• Real-world use cases and business value
• A live demo: an AI-powered support desk with automatic escalation and intelligent workflows, all running inside the database

📅 Monday, June 30 at 18:00 CET

📍 RavenDB Developers Community Discord

On Jun 11, 2025 I’m going to do a Big Reveal of RavenDB’s new Gen AI capabilities in a public webinar. RavenDB's new feature for automated decision-making, content classification, and data enrichment. We'll cover the behind-the-scenes mechanics and how RavenDB simplifies AI logistics, letting you focus on building your system. Discover how to build AI features without breaking the bank or your release schedule.

Yesterday I gave a live talk about some of the re-design we did to the internals of RavenDB’s storage engine (Voron). I think it went pretty well, and the record is here.

Would love to hear your feedback!

Tomorrow I’m going to be doing a Discord webinar about the deep optimizations we did in how  RavenDB talks to the disk.

We are talking about some of the biggest changes to the internals in a decade or so, with the accompanying performance numbers to justify that. I had a great time preparing for that, and I’m really hoping to see you there.

Event link is here.

Join Our Community Discussion: Exploring the Power of AI Search in Modern Applications

We're excited to announce our second Community Open Discussion, focusing on a transformative feature in today's applications: AI search.This technology is rapidly becoming the new standard for delivering intelligent and intuitive search experiences.

Join Dejan from our DevRel team for an open and engaging discussion.Whether you're eager to learn, contribute your insights, or simply listen in, everyone is welcome!

We’ll talk about:

• The growing popularity and importance of AI search.
• A deep dive into the technical aspects, including embeddings generation, query term caching, and quantization techniques.
• An open forum to discuss best practices and various approaches to implementing AI search.
• A live showcase demonstrating how RavenDB AI Integration allows you to implement AI Search in just 5 minutes, with the same simplicity as our regular search API.

Event Details:

• Date: Wednesday, May 7th, 19:00 CET
• Location:RavenDB Developers Community Discord

Bring your questions and your enthusiasm – we look forward to seeing you there!

Orleans is a distributed computing framework for .NET. It allows you to build distributed systems with ease, taking upon itself all the state management, persistence, distribution, and concurrency.

The core aspect in Orleans is the notion of a “grain” - a lightweight unit of computation & state. You can read more about it in Microsoft’s documentation, but I assume that if you are reading this post, you are already at least somewhat familiar with it.

We now support using RavenDB as the backing store for grain persistence, reminders, and clustering. You can read the official announcement about the release here, and the docs covering how to use RavenDB & Microsoft Orleans.

You can use RavenDB to persist and retrieve Orleans grain states, store Orleans timers and reminders, as well as manage Orleans cluster membership.

RavenDB is well suited for this task because of its asynchronous nature, schema-less design, and the ability to automatically adjust itself to different loads on the fly.

If you are using Orleans, or even just considering it, give it a spin with RavenDB. We would love your feedback.