Azure AI Search

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Requirements

• The endpoint and API key for Azure AI Search. Create an endpoint and API key.
• The name of the index in Azure AI Search. Create an index.
  The Azure AI Search index that you use must have an index schema that is compatible with the schema of the documents that Unstructured produces for you. Unstructured cannot provide a schema that is guaranteed to work in all circumstances. This is because these schemas will vary based on your source files’ types; how you want Unstructured to partition, chunk, and generate embeddings; any custom post-processing code that you run; and other factors. You can adapt the following index schema example for your own needs. Be sure to replace <number-of-dimensions> (in three locations in the following example) with the number of dimensions of the embedding model you are using:
  {
    "name": "elements-index",
    "fields": [
      {
        "name": "id",
        "type": "Edm.String",
        "key": true
      },
      {
        "name": "record_id",
        "type": "Edm.String",
        "filterable": true
      },
      {
        "name": "element_id",
        "type": "Edm.String"
      },
      {
        "name": "text",
        "type": "Edm.String",
        "searchable": true
      },
      {
        "name": "type",
        "type": "Edm.String"
      },
      {
        "name": "metadata",
        "type": "Edm.ComplexType",
        "fields": [
          {
            "name": "orig_elements",
            "type": "Edm.String"
          },
          {
            "name": "category_depth",
            "type": "Edm.Int32"
          },
          {
            "name": "parent_id",
            "type": "Edm.String"
          },
          {
            "name": "attached_to_filename",
            "type": "Edm.String"
          },
          {
            "name": "filetype",
            "type": "Edm.String"
          },
          {
            "name": "last_modified",
            "type": "Edm.DateTimeOffset"
          },
          {
            "name": "is_continuation",
            "type": "Edm.Boolean"
          },
          {
            "name": "file_directory",
            "type": "Edm.String"
          },
          {
            "name": "filename",
            "type": "Edm.String"
          },
          {
            "name": "data_source",
            "type": "Edm.ComplexType",
            "fields": [
              {
                "name": "url",
                "type": "Edm.String"
              },
              {
                "name": "version",
                "type": "Edm.String"
              },
              {
                "name": "date_created",
                "type": "Edm.DateTimeOffset"
              },
              {
                "name": "date_modified",
                "type": "Edm.DateTimeOffset"
              },
              {
                "name": "date_processed",
                "type": "Edm.DateTimeOffset"
              },
              {
                "name": "permissions_data",
                "type": "Edm.String"
              },
              {
                "name": "record_locator",
                "type": "Edm.String"
              }
            ]
          },
          {
            "name": "coordinates",
            "type": "Edm.ComplexType",
            "fields": [
              {
                "name": "system",
                "type": "Edm.String"
              },
              {
                "name": "layout_width",
                "type": "Edm.Double"
              },
              {
                "name": "layout_height",
                "type": "Edm.Double"
              },
              {
                "name": "points",
                "type": "Edm.String"
              }
            ]
          },
          {
            "name": "languages",
            "type": "Collection(Edm.String)"
          },
          {
            "name": "page_number",
            "type": "Edm.String"
          },
          {
            "name": "links",
            "type": "Collection(Edm.String)"
          },
          {
            "name": "page_name",
            "type": "Edm.String"
          },
          {
            "name": "link_urls",
            "type": "Collection(Edm.String)"
          },
          {
            "name": "link_texts",
            "type": "Collection(Edm.String)"
          },
          {
            "name": "sent_from",
            "type": "Collection(Edm.String)"
          },
          {
            "name": "sent_to",
            "type": "Collection(Edm.String)"
          },
          {
            "name": "subject",
            "type": "Edm.String"
          },
          {
            "name": "section",
            "type": "Edm.String"
          },
          {
            "name": "header_footer_type",
            "type": "Edm.String"
          },
          {
            "name": "emphasized_text_contents",
            "type": "Collection(Edm.String)"
          },
          {
            "name": "emphasized_text_tags",
            "type": "Collection(Edm.String)"
          },
          {
            "name": "text_as_html",
            "type": "Edm.String"
          },
          {
            "name": "regex_metadata",
            "type": "Edm.String"
          },
          {
            "name": "detection_class_prob",
            "type": "Edm.Double"
          }
        ]
      },
      {
        "name": "embeddings",
        "type": "Collection(Edm.Single)",
        "dimensions": <number-of-dimensions>,
        "vectorSearchProfile": "embeddings-config-profile"
      }
    ],
    "vectorSearch": {
      "algorithms": [
        {
          "name": "hnsw-<number-of-dimensions>",
          "kind": "hnsw",
          "hnswParameters": {
            "m": 4,
            "efConstruction": 400,
            "efSearch": 500,
            "metric": "cosine"
          }
        }
      ],
      "profiles": [
        {
          "name": "embeddings-config-profile",
          "algorithm": "hnsw-<number-of-dimensions>"
        }
      ]
    },
    "semantic": {
      "configurations": [
        {
          "name": "default-semantic-config",
          "prioritizedFields": {
            "titleField": null,
            "prioritizedContentFields": [
              { "fieldName": "text" }
            ],
            "prioritizedKeywordsFields": []
          }
        }
      ]
    }
  }
  
  The record_id, element_id, and id fields are closely related, but each has a distinct purpose. For more information, see How connectors use record IDs, element IDs, and IDs.
  See also:
  • Search indexes in Azure AI Search
  • Schema of a search index
  • Example index schema
  • Unstructured document elements and metadata

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Examples

import os

from unstructured_client import UnstructuredClient
from unstructured_client.models.operations import CreateDestinationRequest
from unstructured_client.models.shared import CreateDestinationConnector

with UnstructuredClient(api_key_auth=os.getenv("UNSTRUCTURED_API_KEY")) as client:
    response = client.destinations.create_destination(
        request=CreateDestinationRequest(
            create_destination_connector=CreateDestinationConnector(
                name="<name>",
                type="azure_ai_search",
                config={
                    "endpoint": "<endpoint>",
                    "index": "<index>",
                    "key": "<key>"
                }
            )
        )
    )

    print(response.destination_connector_information)

curl --request 'POST' --location \
"$UNSTRUCTURED_API_URL/destinations" \
--header 'accept: application/json' \
--header "unstructured-api-key: $UNSTRUCTURED_API_KEY" \
--header 'content-type: application/json' \
--data \
'{
    "name": "<name>",
    "type": "azure_ai_search",
    "config": {
        "endpoint": "<endpoint>",
        "index": "<index>",
        "key": "<key>"
    }
}'

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Configuration settings