Meilisearch Connector for AI agents.

Yes, you can use it to add, update, or replace documents in your index. This means you can keep your search results fresh by letting your AI agent push new data directly to Meilisearch.

It does. You can add or update multiple documents at once or delete them in batches, which is much faster than handling them one by one.

You can create, list, and delete API keys directly through your AI client. This makes it easy to manage permissions and rotate your credentials for different parts of your app.

Yes, the Connector includes a capability to swap multiple indexes atomically. This lets you switch to a new set of data instantly without your users noticing any interruption.

Definitely. You can use it to check the health of your instance, get detailed stats for specific indexes, and retrieve individual documents to see exactly how they are being indexed.

You can trigger both snapshots and full dumps. This gives you a reliable way to create backups or move your data to a different environment whenever you need.

Yes, you can see which experimental features are active and toggle them on or off. This is great for testing new Meilisearch capabilities in a controlled way.

Yes! You can use the delete_documents_by_filter capability. Just provide the index UID and a filter expression (e.g., 'category = electronics') to remove all matching documents at once.

You can use the swap_indexes capability. This allows you to swap the names of two or more indexes atomically, ensuring your search remains active while you switch to a newly populated index.

Absolutely. When using get_document or list_documents, you can provide a comma-separated list of fields to return, reducing the payload size and focusing on the data you need.