Elasticsearch

Send processed data from Unstructured to Elasticsearch.

The requirements are as follows.

• For the Unstructured Platform, only Elastic Cloud instances are supported.

• For Unstructured Ingest, Elastic Cloud instances and self-manged Elasticsearch instances are supported.

• For Elastic Cloud, you will need an Elastic Cloud service instance.

• For self-managed Elasticsearch, you will need a self-managed Elasticsearch instance.

• You will need the name of the index on the instance. See Create index and Get index.

  The Elasticsearch index that you use must have a 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:

  {
      "settings": {
          "index": {
              "knn": true,
              "knn.algo_param.ef_search": 100
          }
      },
      "mappings": {
          "properties": {
              "element_id": {
                  "type": "keyword"
              },
              "text": {
                  "type": "text"
              },
              "embeddings": {
                  "type": "dense_vector",
                  "dims": 384,
                  "index": true,
                  "similarity": "cosine"
              },
              "metadata": {
                  "type": "object",
                  "properties": {
                      "parent_id": {
                          "type": "text"
                      },
                      "page_number": {
                          "type": "integer"
                      },
                      "is_continuation": {
                          "type": "boolean"
                      },
                      "orig_elements": {
                          "type": "text"
                      }
                  }
              }
          }
      }
  }
  

  See also:

  • An Introduction to Elasticsearch Mapping
  • Explicit mapping
  • Dynamic field mapping
  • Unstructured document elements and metadata

• For Elastic Cloud, you will need the Elastic Cloud service instance’s API key. If you are using Unstructured Ingest, you will also need the instance’s Cloud ID. To get these, see your Elasticsearch Service web console.

• For self-managed Elasticsearch, you will need:

  • The self-managed instance’s hostname and port number. See Networking.
  • If you’re using basic authentication to the self-managed instance, the user’s name and password.
  • If you’re using token-based authentication to the self-managed instance, the bearer token or API key for the instance. See Token-based authentication services and Create API key.
  • If you’re using certificate authentication to the self-managed instance, the path to the Certificate Authority (CA) file on the instance, and the certificate fingerprint. See SSL certificate API and Where can I see my Certificate Fingerprint?.

To create the destination connector:

1. On the sidebar, click Connectors.
2. Click Destinations.
3. Cick New or Create Connector.
4. Give the connector some unique Name.
5. In the Provider area, click Elasticsearch.
6. Click Continue.
7. Follow the on-screen instructions to fill in the fields as described later on this page.
8. Click Save and Test.

Fill in the following fields:

• Name (required): A unique name for this connector.
• Host (required): The endpoint URL for the target cluster.
• Index Name (required): The name of the target index in the cluster.
• API Key (required): The Elastic Cloud API key for the target cluster.