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Apache Beam has a built-in connector for Debezium called DebeziumIO. It lets you capture changes from your database and process them directly inside a Beam pipeline. You don’t need to run Apache Kafka or Kafka Connect.

In this post, we’ll build an example pipeline tha...


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Retrieval-Augmented Generation (RAG) has become a central pattern in AI application development. The idea is simple: rather than relying solely on an LLM’s pre-trained knowledge, you give it fresh context by retrieving relevant documents from a vector store at query time.

But there is a catch that most tutorials skip over entirely. Where does that vector dat...


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The Google Summer of Code 2026 program has officially concluded for Debezium, and we are delighted to announce that all our contributors successfully passed their final evaluations! 🎉

Over the past few months, our contributors have worked closely with their mentors and the wider community to design, implement, test, and document new capabilities across the Debezium...


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As September draws to a close, we’re thrilled to announce the general availability of Debezium 3.7, the latest milestone in the Debezium 3.x series. This release brings together everything from the last three months of development, adding a wide range of new features, improvements, and bug fixes across the entire ecosystem.



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The Debezium Platform UI gives you a central place to design pipelines, configure sources, transforms, and destinations, and keep an eye on what is running. Over the last few preview releases, we have shipped improvements that make th...


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