Actions15
- Item Actions
- Container Actions
- Database Actions
Container → Create
AI-generatedSummary
Create a new container within an Azure Cosmos DB database, with optional configurations for vector embedding and full-text search policies.
Inputs
- Database Name or ID (required) — The name or ID of the Azure Cosmos DB database where the container will be created.
- Container Name (required) — Name for the new container. Must be 1–255 characters long and contain only letters, numbers, hyphens, and underscores.
- Partition Key Path (required) — The partition key path for the container (e.g. '/category'). Automatically formatted to start with a forward slash.
- Add Vector Policy — Whether to enable vector search indexing and policy settings on the container.
- Vector Path — The JSON path where vector embeddings are stored (e.g. '/vector'). Required if vector policy is enabled.
- Vector Data Type — The vector embedding data type ('float32', 'float16', or 'int8'). Used when vector policy is enabled.
- Distance Function — Distance metric for vector search ('cosine', 'euclidean', or 'dotProduct'). Used when vector policy is enabled.
- Dimensions — The number of dimensions in vector embeddings (between 1 and 65535). Required if vector policy is enabled.
- Index Type — Vector index type ('diskANN' or 'quantizedFlat'). Used when vector policy is enabled.
- Add Full Text Search Policy — Whether to enable full-text search policy on the container.
- Full Text Path — The JSON path for the text field enabled for full-text search (e.g. '/text'). Required if full-text policy is enabled.
Output shape
a single record
Returns the created Azure Cosmos DB container object, including metadata such as ID, partition key structure, indexing policy, and any configured vector or full-text policies.
Examples
Example 1: Create a standard Cosmos DB container
Database Name or ID = 'my-database', Container Name = 'users', Partition Key Path = '/userId'
Example 2: Create a container with vector search policy for AI embeddings
Database Name or ID = 'ai-db', Container Name = 'documents', Partition Key Path = '/category', Add Vector Policy = true, Vector Path = '/vector', Dimensions = 1536, Distance Function = 'cosine'