Use MongoDB Search and Vector Search

Support for deploying MongoDB Search and MongoDB Vector Search using the Kubernetes operator is available as a Preview feature. The feature and corresponding documentation might change at any time during the Preview period. To learn more, see Preview Features.

If you installed MongoDBSearch resource successfully, you can create MongoDB Search and Vector Search indexes as the mdb-user and run MongoDB Search and Vector Search queries using the indexes. This page describes how to load sample data, create MongoDB Search and Vector Search indexes for the data, and run MongoDB Search and Vector Search queries against the data.

MongoDB Server

Cluster Topology

Prerequisites

To use MongoDB Search and Vector Search, you must have the following:

Successful deployment of MongoDB and MongoDBSearch.
To learn more, see:
- Install and Use Search With MongoDB Enterprise Edition
- Install and Use MongoDB Search and Vector Search With External MongoDB Enterprise Edition
User with permissions to create MongoDB Search and Vector Search and run MongoDB Search and Vector Search queries.
To learn more, see Configure a User for MongoDB Search and Vector Search.
Kubernetes command-line tool, kubectl, configured to communicate with your cluster.
Bash v5.1 or later for running the commands in this tutorial.

Procedure

Troubleshooting

Search Index Creation Fails

`MongoDBSearch` Stuck in Pending

Resources

To learn more about creating indexes and running search queries, see: