Experimental features

The following features are currently in the experimental phase in Memgraph:

• Text search

These features are actively being developed and may change or be removed in future releases. Use them with caution in production environments and only if you thoroughly understand their implications and are prepared for potential API changes, data loss, service interruption, or data inconsistency. It is highly encouraged to thoroughly test the experimental features in your environment.

To use experimental features in Memgraph, you first need to enable them. In case you experience issues or want to provide feedback, please contact us.

Enabling experimental features

To enable an experimental feature in Memgraph, set --experimental-enabled flag to the appropriate value. For example, to run Memgraph in Docker container with the text search feature, run the following command:

docker run -p 7687:7687 -p 7444:7444 memgraph/memgraph --experimental-enabled=text-search

If you already have a Memgraph instance with an experimental feature enabled, and you want to add another one, you will need to restart Memgraph. Ensure that all the necessary flags are enabled during the restart.

Changing the configuration settings depends on the way you are using Memgraph, so please refer to the configuration docs for more information.

Experimental features list

Text Search

• Description: Enables finding nodes based on property values within Memgraph, supporting both literal and regex searches, and the concept of aggregation. It is not guaranteed to work correctly in use cases involving concurrent transactions and replication.
• Status: Early experimental. Provides text search functionalities but is not guaranteed to work correctly in use cases involving concurrent transactions and replication. There are no short-term plans to improve text-search capabilities. If you are interested in improvements, please contact us on Discord.
• Usage: Enable the feature using the flag --experimental-enabled=text-search.
• Documentation: For more details, check the text search docs.