curl --request GET \
--url https://api.orq.ai/v2/memory-stores/{memory_store_key} \
--header 'Authorization: Bearer <token>'{
"_id": "<string>",
"key": "<string>",
"description": "<string>",
"created": "<string>",
"updated": "<string>",
"embedding_config": {
"model": "<string>"
},
"created_by_id": "<string>",
"updated_by_id": "<string>",
"ttl": 123
}Retrieves detailed information about a specific memory store, including its configuration and metadata.
curl --request GET \
--url https://api.orq.ai/v2/memory-stores/{memory_store_key} \
--header 'Authorization: Bearer <token>'{
"_id": "<string>",
"key": "<string>",
"description": "<string>",
"created": "<string>",
"updated": "<string>",
"embedding_config": {
"model": "<string>"
},
"created_by_id": "<string>",
"updated_by_id": "<string>",
"ttl": 123
}Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
The unique key identifier of the memory store
Memory store details successfully retrieved.
The unique identifier of the memory store
The unique key of the memory store. The key is unique and inmmutable and cannot be repeated within the same workspace.
The description of the memory store. Be as precise as possible to help the AI to understand the purpose of the memory store.
The creation date of the memory store
The last update date of the memory store
Show child attributes
The embeddings model to use for the knowledge base in the format "provider/model" for public models or "workspaceKey@provider/model" for private workspace models. This model will be used to embed the chunks when they are added to the knowledge base. Refer to the (Supported models)[/docs/proxy/supported-models] to browse available models.
The user ID of the creator
The user ID of the last updater
The default time to live of every memory document created within the memory store. Useful to control if the documents in the memory should be store for short or long term.
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