Create GCP Discovery Engine Data Stores

The gcp:discoveryengine/dataStore:DataStore resource, part of the Pulumi GCP provider, defines a Discovery Engine data store: its content type, industry vertical, solution capabilities, and optional encryption and processing settings. This guide focuses on four capabilities: basic data store creation with solution types, customer-managed encryption keys, document processing and OCR configuration, and advanced site search indexing controls.

Data stores require a GCP project with the Discovery Engine API enabled and may reference Cloud KMS keys for encryption. The examples are intentionally small. Combine them with your own document ingestion pipelines and search serving configuration.

Create a data store for search applications

Most deployments start with a basic data store that defines content type, industry vertical, and solution capabilities.

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const basic = new gcp.discoveryengine.DataStore("basic", {
    location: "global",
    dataStoreId: "data-store-id",
    displayName: "tf-test-structured-datastore",
    industryVertical: "GENERIC",
    contentConfig: "NO_CONTENT",
    solutionTypes: ["SOLUTION_TYPE_SEARCH"],
    createAdvancedSiteSearch: false,
    skipDefaultSchemaCreation: false,
});

import pulumi
import pulumi_gcp as gcp

basic = gcp.discoveryengine.DataStore("basic",
    location="global",
    data_store_id="data-store-id",
    display_name="tf-test-structured-datastore",
    industry_vertical="GENERIC",
    content_config="NO_CONTENT",
    solution_types=["SOLUTION_TYPE_SEARCH"],
    create_advanced_site_search=False,
    skip_default_schema_creation=False)

package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/discoveryengine"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := discoveryengine.NewDataStore(ctx, "basic", &discoveryengine.DataStoreArgs{
			Location:         pulumi.String("global"),
			DataStoreId:      pulumi.String("data-store-id"),
			DisplayName:      pulumi.String("tf-test-structured-datastore"),
			IndustryVertical: pulumi.String("GENERIC"),
			ContentConfig:    pulumi.String("NO_CONTENT"),
			SolutionTypes: pulumi.StringArray{
				pulumi.String("SOLUTION_TYPE_SEARCH"),
			},
			CreateAdvancedSiteSearch:  pulumi.Bool(false),
			SkipDefaultSchemaCreation: pulumi.Bool(false),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var basic = new Gcp.DiscoveryEngine.DataStore("basic", new()
    {
        Location = "global",
        DataStoreId = "data-store-id",
        DisplayName = "tf-test-structured-datastore",
        IndustryVertical = "GENERIC",
        ContentConfig = "NO_CONTENT",
        SolutionTypes = new[]
        {
            "SOLUTION_TYPE_SEARCH",
        },
        CreateAdvancedSiteSearch = false,
        SkipDefaultSchemaCreation = false,
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.discoveryengine.DataStore;
import com.pulumi.gcp.discoveryengine.DataStoreArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var basic = new DataStore("basic", DataStoreArgs.builder()
            .location("global")
            .dataStoreId("data-store-id")
            .displayName("tf-test-structured-datastore")
            .industryVertical("GENERIC")
            .contentConfig("NO_CONTENT")
            .solutionTypes("SOLUTION_TYPE_SEARCH")
            .createAdvancedSiteSearch(false)
            .skipDefaultSchemaCreation(false)
            .build());

    }
}

resources:
  basic:
    type: gcp:discoveryengine:DataStore
    properties:
      location: global
      dataStoreId: data-store-id
      displayName: tf-test-structured-datastore
      industryVertical: GENERIC
      contentConfig: NO_CONTENT
      solutionTypes:
        - SOLUTION_TYPE_SEARCH
      createAdvancedSiteSearch: false
      skipDefaultSchemaCreation: false

The dataStoreId provides a unique identifier within your project. The contentConfig property determines what type of content the store handles: NO_CONTENT for structured data, CONTENT_REQUIRED for unstructured documents, or PUBLIC_WEBSITE for web crawling. The solutionTypes array specifies which Discovery Engine capabilities to enable (SEARCH, CHAT, RECOMMENDATION, or GENERATIVE_CHAT). The location property controls data residency and must be “global”, “us”, or “eu”.

Encrypt data store contents with customer-managed keys

Organizations with compliance requirements can control encryption keys through Cloud KMS.

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const kmsKeyName = new gcp.discoveryengine.DataStore("kms_key_name", {
    location: "us",
    dataStoreId: "data-store-id",
    displayName: "tf-test-structured-datastore",
    industryVertical: "GENERIC",
    contentConfig: "NO_CONTENT",
    solutionTypes: ["SOLUTION_TYPE_SEARCH"],
    kmsKeyName: "kms-key",
    createAdvancedSiteSearch: false,
    skipDefaultSchemaCreation: false,
});

import pulumi
import pulumi_gcp as gcp

kms_key_name = gcp.discoveryengine.DataStore("kms_key_name",
    location="us",
    data_store_id="data-store-id",
    display_name="tf-test-structured-datastore",
    industry_vertical="GENERIC",
    content_config="NO_CONTENT",
    solution_types=["SOLUTION_TYPE_SEARCH"],
    kms_key_name="kms-key",
    create_advanced_site_search=False,
    skip_default_schema_creation=False)

package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/discoveryengine"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := discoveryengine.NewDataStore(ctx, "kms_key_name", &discoveryengine.DataStoreArgs{
			Location:         pulumi.String("us"),
			DataStoreId:      pulumi.String("data-store-id"),
			DisplayName:      pulumi.String("tf-test-structured-datastore"),
			IndustryVertical: pulumi.String("GENERIC"),
			ContentConfig:    pulumi.String("NO_CONTENT"),
			SolutionTypes: pulumi.StringArray{
				pulumi.String("SOLUTION_TYPE_SEARCH"),
			},
			KmsKeyName:                pulumi.String("kms-key"),
			CreateAdvancedSiteSearch:  pulumi.Bool(false),
			SkipDefaultSchemaCreation: pulumi.Bool(false),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var kmsKeyName = new Gcp.DiscoveryEngine.DataStore("kms_key_name", new()
    {
        Location = "us",
        DataStoreId = "data-store-id",
        DisplayName = "tf-test-structured-datastore",
        IndustryVertical = "GENERIC",
        ContentConfig = "NO_CONTENT",
        SolutionTypes = new[]
        {
            "SOLUTION_TYPE_SEARCH",
        },
        KmsKeyName = "kms-key",
        CreateAdvancedSiteSearch = false,
        SkipDefaultSchemaCreation = false,
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.discoveryengine.DataStore;
import com.pulumi.gcp.discoveryengine.DataStoreArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var kmsKeyName = new DataStore("kmsKeyName", DataStoreArgs.builder()
            .location("us")
            .dataStoreId("data-store-id")
            .displayName("tf-test-structured-datastore")
            .industryVertical("GENERIC")
            .contentConfig("NO_CONTENT")
            .solutionTypes("SOLUTION_TYPE_SEARCH")
            .kmsKeyName("kms-key")
            .createAdvancedSiteSearch(false)
            .skipDefaultSchemaCreation(false)
            .build());

    }
}

resources:
  kmsKeyName:
    type: gcp:discoveryengine:DataStore
    name: kms_key_name
    properties:
      location: us
      dataStoreId: data-store-id
      displayName: tf-test-structured-datastore
      industryVertical: GENERIC
      contentConfig: NO_CONTENT
      solutionTypes:
        - SOLUTION_TYPE_SEARCH
      kmsKeyName: kms-key
      createAdvancedSiteSearch: false
      skipDefaultSchemaCreation: false

The kmsKeyName property references a Cloud KMS key resource that encrypts data at rest. Discovery Engine uses this key to protect the data store and indicates the encryption status in the cmekConfig output field. You must have permissions to use the specified key, and the key must exist before creating the data store.

Configure document parsing and OCR behavior

When ingesting documents, you can control how Discovery Engine extracts text from different file types.

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const documentProcessingConfig = new gcp.discoveryengine.DataStore("document_processing_config", {
    location: "global",
    dataStoreId: "data-store-id",
    displayName: "tf-test-structured-datastore",
    industryVertical: "GENERIC",
    contentConfig: "NO_CONTENT",
    solutionTypes: ["SOLUTION_TYPE_SEARCH"],
    createAdvancedSiteSearch: false,
    documentProcessingConfig: {
        defaultParsingConfig: {
            digitalParsingConfig: {},
        },
        parsingConfigOverrides: [{
            fileType: "pdf",
            ocrParsingConfig: {
                useNativeText: true,
            },
        }],
    },
});

import pulumi
import pulumi_gcp as gcp

document_processing_config = gcp.discoveryengine.DataStore("document_processing_config",
    location="global",
    data_store_id="data-store-id",
    display_name="tf-test-structured-datastore",
    industry_vertical="GENERIC",
    content_config="NO_CONTENT",
    solution_types=["SOLUTION_TYPE_SEARCH"],
    create_advanced_site_search=False,
    document_processing_config={
        "default_parsing_config": {
            "digital_parsing_config": {},
        },
        "parsing_config_overrides": [{
            "file_type": "pdf",
            "ocr_parsing_config": {
                "use_native_text": True,
            },
        }],
    })

package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/discoveryengine"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := discoveryengine.NewDataStore(ctx, "document_processing_config", &discoveryengine.DataStoreArgs{
			Location:         pulumi.String("global"),
			DataStoreId:      pulumi.String("data-store-id"),
			DisplayName:      pulumi.String("tf-test-structured-datastore"),
			IndustryVertical: pulumi.String("GENERIC"),
			ContentConfig:    pulumi.String("NO_CONTENT"),
			SolutionTypes: pulumi.StringArray{
				pulumi.String("SOLUTION_TYPE_SEARCH"),
			},
			CreateAdvancedSiteSearch: pulumi.Bool(false),
			DocumentProcessingConfig: &discoveryengine.DataStoreDocumentProcessingConfigArgs{
				DefaultParsingConfig: &discoveryengine.DataStoreDocumentProcessingConfigDefaultParsingConfigArgs{
					DigitalParsingConfig: &discoveryengine.DataStoreDocumentProcessingConfigDefaultParsingConfigDigitalParsingConfigArgs{},
				},
				ParsingConfigOverrides: discoveryengine.DataStoreDocumentProcessingConfigParsingConfigOverrideArray{
					&discoveryengine.DataStoreDocumentProcessingConfigParsingConfigOverrideArgs{
						FileType: pulumi.String("pdf"),
						OcrParsingConfig: &discoveryengine.DataStoreDocumentProcessingConfigParsingConfigOverrideOcrParsingConfigArgs{
							UseNativeText: pulumi.Bool(true),
						},
					},
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var documentProcessingConfig = new Gcp.DiscoveryEngine.DataStore("document_processing_config", new()
    {
        Location = "global",
        DataStoreId = "data-store-id",
        DisplayName = "tf-test-structured-datastore",
        IndustryVertical = "GENERIC",
        ContentConfig = "NO_CONTENT",
        SolutionTypes = new[]
        {
            "SOLUTION_TYPE_SEARCH",
        },
        CreateAdvancedSiteSearch = false,
        DocumentProcessingConfig = new Gcp.DiscoveryEngine.Inputs.DataStoreDocumentProcessingConfigArgs
        {
            DefaultParsingConfig = new Gcp.DiscoveryEngine.Inputs.DataStoreDocumentProcessingConfigDefaultParsingConfigArgs
            {
                DigitalParsingConfig = null,
            },
            ParsingConfigOverrides = new[]
            {
                new Gcp.DiscoveryEngine.Inputs.DataStoreDocumentProcessingConfigParsingConfigOverrideArgs
                {
                    FileType = "pdf",
                    OcrParsingConfig = new Gcp.DiscoveryEngine.Inputs.DataStoreDocumentProcessingConfigParsingConfigOverrideOcrParsingConfigArgs
                    {
                        UseNativeText = true,
                    },
                },
            },
        },
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.discoveryengine.DataStore;
import com.pulumi.gcp.discoveryengine.DataStoreArgs;
import com.pulumi.gcp.discoveryengine.inputs.DataStoreDocumentProcessingConfigArgs;
import com.pulumi.gcp.discoveryengine.inputs.DataStoreDocumentProcessingConfigDefaultParsingConfigArgs;
import com.pulumi.gcp.discoveryengine.inputs.DataStoreDocumentProcessingConfigDefaultParsingConfigDigitalParsingConfigArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var documentProcessingConfig = new DataStore("documentProcessingConfig", DataStoreArgs.builder()
            .location("global")
            .dataStoreId("data-store-id")
            .displayName("tf-test-structured-datastore")
            .industryVertical("GENERIC")
            .contentConfig("NO_CONTENT")
            .solutionTypes("SOLUTION_TYPE_SEARCH")
            .createAdvancedSiteSearch(false)
            .documentProcessingConfig(DataStoreDocumentProcessingConfigArgs.builder()
                .defaultParsingConfig(DataStoreDocumentProcessingConfigDefaultParsingConfigArgs.builder()
                    .digitalParsingConfig(DataStoreDocumentProcessingConfigDefaultParsingConfigDigitalParsingConfigArgs.builder()
                        .build())
                    .build())
                .parsingConfigOverrides(DataStoreDocumentProcessingConfigParsingConfigOverrideArgs.builder()
                    .fileType("pdf")
                    .ocrParsingConfig(DataStoreDocumentProcessingConfigParsingConfigOverrideOcrParsingConfigArgs.builder()
                        .useNativeText(true)
                        .build())
                    .build())
                .build())
            .build());

    }
}

resources:
  documentProcessingConfig:
    type: gcp:discoveryengine:DataStore
    name: document_processing_config
    properties:
      location: global
      dataStoreId: data-store-id
      displayName: tf-test-structured-datastore
      industryVertical: GENERIC
      contentConfig: NO_CONTENT
      solutionTypes:
        - SOLUTION_TYPE_SEARCH
      createAdvancedSiteSearch: false
      documentProcessingConfig:
        defaultParsingConfig:
          digitalParsingConfig: {}
        parsingConfigOverrides:
          - fileType: pdf
            ocrParsingConfig:
              useNativeText: true

The documentProcessingConfig property defines parsing strategies. The defaultParsingConfig applies to all documents unless overridden. The digitalParsingConfig handles born-digital content, while parsingConfigOverrides lets you specify different behavior per file type. In this configuration, PDFs use OCR with native text extraction enabled (useNativeText), which preserves original text when available rather than relying solely on optical character recognition.

Enable advanced site search with custom indexing

Public website data stores can use advanced site search features for additional control over indexing.

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const advancedSiteSearchConfig = new gcp.discoveryengine.DataStore("advanced_site_search_config", {
    location: "global",
    dataStoreId: "data-store-id",
    displayName: "tf-test-advanced-site-search-config-datastore",
    industryVertical: "GENERIC",
    contentConfig: "PUBLIC_WEBSITE",
    solutionTypes: ["SOLUTION_TYPE_CHAT"],
    createAdvancedSiteSearch: true,
    skipDefaultSchemaCreation: false,
    advancedSiteSearchConfig: {
        disableInitialIndex: true,
        disableAutomaticRefresh: true,
    },
});

import pulumi
import pulumi_gcp as gcp

advanced_site_search_config = gcp.discoveryengine.DataStore("advanced_site_search_config",
    location="global",
    data_store_id="data-store-id",
    display_name="tf-test-advanced-site-search-config-datastore",
    industry_vertical="GENERIC",
    content_config="PUBLIC_WEBSITE",
    solution_types=["SOLUTION_TYPE_CHAT"],
    create_advanced_site_search=True,
    skip_default_schema_creation=False,
    advanced_site_search_config={
        "disable_initial_index": True,
        "disable_automatic_refresh": True,
    })

package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/discoveryengine"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := discoveryengine.NewDataStore(ctx, "advanced_site_search_config", &discoveryengine.DataStoreArgs{
			Location:         pulumi.String("global"),
			DataStoreId:      pulumi.String("data-store-id"),
			DisplayName:      pulumi.String("tf-test-advanced-site-search-config-datastore"),
			IndustryVertical: pulumi.String("GENERIC"),
			ContentConfig:    pulumi.String("PUBLIC_WEBSITE"),
			SolutionTypes: pulumi.StringArray{
				pulumi.String("SOLUTION_TYPE_CHAT"),
			},
			CreateAdvancedSiteSearch:  pulumi.Bool(true),
			SkipDefaultSchemaCreation: pulumi.Bool(false),
			AdvancedSiteSearchConfig: &discoveryengine.DataStoreAdvancedSiteSearchConfigArgs{
				DisableInitialIndex:     pulumi.Bool(true),
				DisableAutomaticRefresh: pulumi.Bool(true),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var advancedSiteSearchConfig = new Gcp.DiscoveryEngine.DataStore("advanced_site_search_config", new()
    {
        Location = "global",
        DataStoreId = "data-store-id",
        DisplayName = "tf-test-advanced-site-search-config-datastore",
        IndustryVertical = "GENERIC",
        ContentConfig = "PUBLIC_WEBSITE",
        SolutionTypes = new[]
        {
            "SOLUTION_TYPE_CHAT",
        },
        CreateAdvancedSiteSearch = true,
        SkipDefaultSchemaCreation = false,
        AdvancedSiteSearchConfig = new Gcp.DiscoveryEngine.Inputs.DataStoreAdvancedSiteSearchConfigArgs
        {
            DisableInitialIndex = true,
            DisableAutomaticRefresh = true,
        },
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.discoveryengine.DataStore;
import com.pulumi.gcp.discoveryengine.DataStoreArgs;
import com.pulumi.gcp.discoveryengine.inputs.DataStoreAdvancedSiteSearchConfigArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var advancedSiteSearchConfig = new DataStore("advancedSiteSearchConfig", DataStoreArgs.builder()
            .location("global")
            .dataStoreId("data-store-id")
            .displayName("tf-test-advanced-site-search-config-datastore")
            .industryVertical("GENERIC")
            .contentConfig("PUBLIC_WEBSITE")
            .solutionTypes("SOLUTION_TYPE_CHAT")
            .createAdvancedSiteSearch(true)
            .skipDefaultSchemaCreation(false)
            .advancedSiteSearchConfig(DataStoreAdvancedSiteSearchConfigArgs.builder()
                .disableInitialIndex(true)
                .disableAutomaticRefresh(true)
                .build())
            .build());

    }
}

resources:
  advancedSiteSearchConfig:
    type: gcp:discoveryengine:DataStore
    name: advanced_site_search_config
    properties:
      location: global
      dataStoreId: data-store-id
      displayName: tf-test-advanced-site-search-config-datastore
      industryVertical: GENERIC
      contentConfig: PUBLIC_WEBSITE
      solutionTypes:
        - SOLUTION_TYPE_CHAT
      createAdvancedSiteSearch: true
      skipDefaultSchemaCreation: false
      advancedSiteSearchConfig:
        disableInitialIndex: true
        disableAutomaticRefresh: true

Advanced site search requires contentConfig set to PUBLIC_WEBSITE and createAdvancedSiteSearch set to true. The advancedSiteSearchConfig property controls crawling behavior: disableInitialIndex prevents automatic indexing at creation time, and disableAutomaticRefresh stops periodic re-crawling. This gives you manual control over when Discovery Engine indexes your content.

Beyond these examples

These snippets focus on specific data store features: basic data store creation and solution types, CMEK encryption with Cloud KMS, document parsing and OCR configuration, and advanced site search indexing controls. They’re intentionally minimal rather than full search applications.

The examples assume pre-existing infrastructure such as a GCP project with Discovery Engine API enabled, and Cloud KMS keys for the CMEK example. They focus on configuring the data store rather than provisioning the surrounding infrastructure.

To keep things focused, common data store patterns are omitted, including:

Schema customization (skipDefaultSchemaCreation flag usage)
Multi-region deployment strategies
Document ingestion and management
Search serving configuration and tuning

These omissions are intentional: the goal is to illustrate how each data store feature is wired, not provide drop-in search modules. See the Discovery Engine DataStore resource reference for all available configuration options.

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Frequently Asked Questions

Configuration & Immutability

What properties can't I change after creating a data store?

Eight properties are immutable: advancedSiteSearchConfig, contentConfig, dataStoreId, industryVertical, location, project, documentProcessingConfig, and solutionTypes. Changing any of these requires recreating the data store.

What locations are supported for data stores?

Only three geographic locations are supported: global, us, and eu.

What happens if I skip default schema creation?

If skipDefaultSchemaCreation is true, you must manually create a schema before any documents can be ingested. Only enable this if you’re certain the default schema is incompatible with your use case.

Content & Solution Types

What are the contentConfig options and when should I use each?

Three options are available: NO_CONTENT (metadata only), CONTENT_REQUIRED (full content needed), and PUBLIC_WEBSITE (for website search). Choose based on whether you’re indexing content or just metadata.

What industry verticals are supported?

Three verticals are available: GENERIC (general purpose), MEDIA (media content), and HEALTHCARE_FHIR (healthcare data in FHIR format).

What solution types can I enable for my data store?

Four solution types are available: SOLUTION_TYPE_RECOMMENDATION, SOLUTION_TYPE_SEARCH, SOLUTION_TYPE_CHAT, and SOLUTION_TYPE_GENERATIVE_CHAT. You can enable multiple types as an array.

Advanced Features

What are the requirements for enabling advanced site search?

Set createAdvancedSiteSearch to true, but this only works when industryVertical is GENERIC and contentConfig is PUBLIC_WEBSITE. The flag is ignored for other configurations.

How do I disable automatic indexing for site search?

Configure advancedSiteSearchConfig with disableInitialIndex and disableAutomaticRefresh set to true.

How do I encrypt my data store with a customer-managed key?

Specify kmsKeyName with the full KMS key resource path at creation time. This is required for CMEK Org Policy compliance.

Document Processing

How do I configure custom parsing for specific file types?

Use documentProcessingConfig with parsingConfigOverrides to specify file types (like pdf) and their parsing options, such as ocrParsingConfig with useNativeText.

What's the difference between defaultParsingConfig and parsingConfigOverrides?

defaultParsingConfig applies to all documents, while parsingConfigOverrides lets you specify different parsing rules for specific file types like PDFs.

Using a different cloud?

Explore analytics guides for other cloud providers:

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