Menelusuri penyimpanan data dengan kueri lanjutan

Melakukan penelusuran multi-giliran/percakapan di penyimpanan data.

Mempelajari lebih lanjut

Untuk dokumentasi mendetail yang menyertakan contoh kode ini, lihat artikel berikut:

• Penelusuran dengan kueri lanjutan

Contoh kode

Python

Untuk mengetahui informasi selengkapnya, lihat Dokumentasi referensi API Python Vertex AI Agent Builder.

Untuk melakukan autentikasi ke Vertex AI Agent Builder, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

from typing import List

from google.api_core.client_options import ClientOptions
from google.cloud import discoveryengine_v1 as discoveryengine

# TODO(developer): Uncomment these variables before running the sample.
# project_id = "YOUR_PROJECT_ID"
# location = "YOUR_LOCATION"                    # Values: "global", "us", "eu"
# data_store_id = "YOUR_DATA_STORE_ID"
# search_queries = ["YOUR_FIRST_SEARCH_QUERY", "YOUR_SECOND_SEARCH_QUERY"]


def multi_turn_search_sample(
    project_id: str,
    location: str,
    data_store_id: str,
    search_queries: List[str],
) -> List[discoveryengine.ConverseConversationResponse]:
    #  For more information, refer to:
    # https://cloud.google.com/generative-ai-app-builder/docs/locations#specify_a_multi-region_for_your_data_store
    client_options = (
        ClientOptions(api_endpoint=f"{location}-discoveryengine.googleapis.com")
        if location != "global"
        else None
    )

    # Create a client
    client = discoveryengine.ConversationalSearchServiceClient(
        client_options=client_options
    )

    # Initialize Multi-Turn Session
    conversation = client.create_conversation(
        # The full resource name of the data store
        # e.g. projects/{project_id}/locations/{location}/dataStores/{data_store_id}
        parent=client.data_store_path(
            project=project_id, location=location, data_store=data_store_id
        ),
        conversation=discoveryengine.Conversation(),
    )


    for search_query in search_queries:
        # Add new message to session
        request = discoveryengine.ConverseConversationRequest(
            name=conversation.name,
            query=discoveryengine.TextInput(input=search_query),
            serving_config=client.serving_config_path(
                project=project_id,
                location=location,
                data_store=data_store_id,
                serving_config="default_config",
            ),
            # Options for the returned summary
            summary_spec=discoveryengine.SearchRequest.ContentSearchSpec.SummarySpec(
                # Number of results to include in summary
                summary_result_count=3,
                include_citations=True,
            ),
        )
        response = client.converse_conversation(request)

        print(f"Reply: {response.reply.summary.summary_text}\n")

        for i, result in enumerate(response.search_results, 1):
            result_data = result.document.derived_struct_data
            print(f"[{i}]")
            print(f"Link: {result_data['link']}")
            print(f"First Snippet: {result_data['snippets'][0]['snippet']}")
            print(
                "First Extractive Answer: \n"
                f"\tPage: {result_data['extractive_answers'][0]['pageNumber']}\n"
                f"\tContent: {result_data['extractive_answers'][0]['content']}\n\n"
            )
        print("\n\n")

Langkah selanjutnya

Untuk menelusuri dan memfilter contoh kode untuk produk Google Cloud lainnya, lihat browser contoh Google Cloud.