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Implementing Agentic Reminders in RavenDB

December 8, 2025

A really interesting problem for developers building agentic systems is moving away from chatting with the AI model. For example, consider the following conversation: This is a pretty simple scenario where we need to actually step out of the chat and do something else. This seems like an obvious request, right? But it turns out to be a bit…

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Feed Elasticsearch from your RavenDB

December 8, 2025

Highlights Use RavenDB’s built-in Elasticsearch ETL to sync data without custom integration code. Transform and send documents directly to Elasticsearch indexes in a controlled, incremental pipeline. Maintain existing ELK or search workflows while reducing integration complexity and operational overhead. Seamlessly Integrate RavenDB…

on premise migration cloud etl guide

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Recording: Build AI that understands your business

December 5, 2025

I gave the following talk at Microsoft Ignite 2025: Connecting LLMs to your secure, operational database involves complexity, security risks, and hallucinations. This session shows how to build context-aware AI agents directly on your existing data, going from live database to production-ready, secure AI agent in hours. You’ll see how to ship…

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Recording: From CRUD TO AI – building an intelligent Telegram bot in < 200 lines of code with RavenDB

December 2, 2025

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…

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Master RavenDB: Indexing Staleness

November 24, 2025

Highlights RavenDB indexes update asynchronously to maintain high write performance and availability. Query results may be temporarily stale while indexes process new data in the background. Developers can control query freshness using WaitForNonStaleResults or session-level settings. To Wait or Not to Wait: Practical Examples of…

guide community on premise performance cloud indexing

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Using multi-staged actions with AI Agents to reduce costs & time

November 17, 2025

When building AI Agents, one of the challenges you have to deal with is the sheer amount of data that the agent may need to go through. A natural way to deal with that is not to hand the information directly to the model, but rather allow it to query for the information as it sees fit. For example, in the case of a human resource assistant, we may…

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Reducing AI context load using actions

November 14, 2025

When using an AI model, one of the things that you need to pay attention to is the number of tokens you send to the model. They literally cost you money, so you have to balance the amount of data you send to the model against how much of it is relevant to what you want it to do. That is especially important when you are building generic agents,…

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Using AI Agents parameters outside of the model’s scope

November 12, 2025

Building an AI Agent in RavenDB is very much like defining a class, you define all the things that it can do, the initial prompt to the AI model, and you specify which parameters the agent requires. Like a class, you can create an instance of an AI agent by starting a new conversation with it. Each conversation is a separate instance of the agent,…

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Set up RavenDB Server using AWS Marketplace

November 11, 2025

Highlights Launch RavenDB fast using AWS Marketplace with full control over your environment Secure your instance by limiting inbound rules to your IP during setup Use SSH port forwarding to connect locally to your RavenDB server There are many ways to run and manage RavenDB. Every one of them has different characteristics and might…