components llm_rag_update_acs_index - Azure/azureml-assets GitHub Wiki
Uploads embeddings into Azure Cognitive Search instance specified in acs_config. The Index will be created if it doesn't exist.
The Index will have the following fields populated:
- "id", String, key=True
- "content", String
- "contentVector", Collection(Single)
- "category", String
- "url", String
- "filepath", String
- "content_hash", String
- "meta_json_string", String
"meta_json_string" contains all metadata for a document serialized as a JSON string.
Version: 0.0.71
Preview
View in Studio: https://ml.azure.com/registries/azureml/components/llm_rag_update_acs_index/version/0.0.71
| Name | Description | Type | Default | Optional | Enum |
|---|---|---|---|---|---|
| embeddings | Embeddings output produced from parallel_create_embeddings. | uri_folder | |||
| acs_config | JSON string containing the ACS configuration. e.g. {"endpoint": "https://my-cog.search.windows.net", "index_name": "my-index", "api_version": "2021-04-30-Preview", "endpoint_key_name": "ACS-PROD-KEY"} | string | |||
| index_connection_id | The connection id of the ACS Index provider to use. | string | True |
| Name | Description | Type |
|---|---|---|
| index | Uri folder containing MLINdex yaml describing the newly created/updated ACS index | uri_folder |
azureml:llm-rag-embeddings@latest