We are excited to announce the release of the MongoDB Controller for Kubernetes (MCK) 1.4, which introduces the Public Preview of Search and Vector Search for use with self-managed MongoDB Enterprise Server deployments.
This release brings powerful, proven search capabilities from MongoDB Atlas directly to your self-managed environments, enabling you to build, test, and run modern, AI-powered applications on your own infrastructure. You can now eliminate the architectural complexity and operational overhead of managing separate search systems or standalone vector databases.
New Features: Search & Vector Search (Public Preview)
This public preview is the first milestone in bringing fully integrated full-text and vector search to your enterprise deployments.
- MongoDB Enterprise Server Support: This preview is compatible with MongoDB Enterprise Server version 8.0.10+ and is intended for testing, evaluation, and feedback.
- Flexible Topologies: The search process (
mongot
) must run in Kubernetes, but your database cluster (mongod
) can run on your existing infrastructure—either inside the same Kubernetes cluster or on external VMs and bare-metal servers. This allows you to adopt powerful search features without needing to migrate your current database workloads. - Replica Set Support: The initial preview supports deployments running as replica sets.
- Secure Connectivity: All communication between the
mongod
andmongot
processes can be secured using TLS encryption.
Coming Soon
This release is the first in a series of incremental updates planned through the end of 2025. While it already delivers important functionality, several key enhancements are on our short-term roadmap, including:
- Support for sharded clusters.
- High availability via multiple
mongot
instances. - Support for gRPC and mTLS.
Learn More
- Check out the public preview documentation for setup and configuration details
- Read our blog post for a deep dive into this release and its capabilities