C#

Learn how to connect multiple RavenDB AI Agents into a multi-agent system, where specialized sub-agents handle focused tasks while a coordinator routes work between them.

Learn how to attach binary files such as PDFs and images to RavenDB AI Agent conversations, reducing token usage while keeping files accessible across the conversation lifecycle.

Learn how RavenDB backups work, when to use logical backups versus snapshots, and how to configure scheduled and server-wide backup tasks via Studio and C# code.

Learn to implement the transactional outbox pattern in C# using RavenDB data subscriptions or Queue ETL, with RabbitMQ and Kafka code examples.

Configure JSON schema validation in RavenDB to enforce data consistency across teams. Learn how to audit documents against a schema or block invalid writes at the database level.

Store RavenDB attachments in Amazon S3 or Azure Blob Storage to cut costs. Studio and C# setup guide with bulk migration of existing attachments.

External

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

Use RavenDB Data Archival to exclude historical documents from indexes and queries, keeping performance high without deleting data you need to retain.

External

Read about Unlock RavenDB GenAI Potential with Attachments on the RavenDB.net news section

Read about AI Image Search with RavenDB on the RavenDB.net news section

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Read about Using RavenDB Persistence in an Akka.NET Application on the RavenDB.net news section

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Read about Integrating RavenDB with .NET Aspire on the RavenDB.net news section

External

Read about Connecting C# application to RavenDB Cloud on the RavenDB.net news section

See how RavenDB Data Subscriptions let you offload invoice processing to a background worker in C#, with PDF generation and attachment storage included.

External

Read about Writing unit tests with RavenDB .NET Test Driver on the RavenDB.net news section