Deep Dive

Learn how to use withContextPrefix() in RavenDB 7.2.3 to inject document-level context into every embedding chunk, improving vector search precision for large documents.

Step-by-step guide to deploying a fully secured RavenDB cluster on Kubernetes using the RavenDB Operator, covering TLS, cert-manager, storage, and rolling upgrades.

External

Read about A Practical Look at AI Agents with RavenDB on the RavenDB.net news section

Why RavenDB queries can return stale results, when that is perfectly fine, and how to force fresh results per query, per session, or across the whole document store.

Trace live and historical requests to your RavenDB cluster with Traffic Watch, Admin Logs, Studio notifications, and Audit Logs to diagnose unexpected activity and performance issues.

Discover 7 common RavenDB index anti-patterns, including misusing LoadDocument and storing too many fields, and learn how to fix each one for better query performance.

External

Read about GenAI: How We Make You Work Less on the RavenDB.net news section

How RavenDB projections return only the fields you need, why projected data comes from documents by default, and how to store fields in a static index and tune projection behavior for faster reads.

Learn how to use RavenDB's GenAI feature to automatically summarize, prioritize, and enrich documents. Step-by-step walkthrough with code examples and screenshots.

Diagnose and fix high memory usage in RavenDB: understand how RavenDB manages memory with memory-mapped files, spot trouble on Windows, Linux, and in the Studio, then trace the cause with admin logs, debug endpoints, and dotnet-dump.

Track down what drives RavenDB's CPU load. Tell Current CPU Usage from Total CPU Time, then diagnose it with top, htop, and RavenDB Studio.

How to use dynamic fields in RavenDB static indexes to query on properties that aren't defined at index-creation time, plus the pitfalls to watch for with duplicate field names and stored projections.