Search

Smart Search SDK allows you to perform semantic, lexical, and vector-based queries on your connected data sources. This section covers both the current and deprecated search methods.

Initialization

Environment Setup

Make sure your environment variables are configured correctly in the .env file:

Update your environment configuration file as shown below:

SMARTSEARCH_BASE_URL=<your-api-url>
SMARTSEARCH_TOKEN=<your-auth-token>
gl_token=<your-gl-token>

---

Initialize the Search Client

from smartsearch.search.client import SmartSearchSearchClient

client = SmartSearchSearchClient(
    base_url=os.getenv("SMARTSEARCH_BASE_URL"),
    cache_manager=cache_manager
)

---

Authenticate with Token

await client.authenticate(token=os.getenv("SMARTSEARCH_TOKEN"))

Must be called once before making any search requests.

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Usage

1. Perform a Search (Recommended)

Execute a query by specifying a search_profile_name, search string, and optional pagination parameters.

result = client.search(
    SmartSearchKeyPointsRequest(
        query="Time Tracking Report",
        search_profile_names=["google_drive"],
        size=10
    )
)

Parameters:

Name	Type	Description
search_profile_names	string	data sources (current choices between github, google_calendar, google_drive, google_mail, general)
query	string	The user's search input
size	int	(Optional) Number of results to return

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Full Code Snippet

Search

from smartsearch.search.client import SmartSearchSearchClient, SmartSearchKeyPointsRequest

client = SmartSearchSearchClient(
    base_url=os.getenv("SMARTSEARCH_BASE_URL"),
    cache_manager=cache_manager
)
await client.authenticate(token=os.getenv("SMARTSEARCH_TOKEN"))

request = SmartSearchKeyPointsRequest(
    query="Time Tracking Report",
    search_profile_names=["google_drive"],
    size=10
)

result = client.search(request)