DataBridge

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Usage

from databridge.sync import DataBridge

# Without authentication
db = DataBridge()

# With authentication
db = DataBridge("databridge://owner_id:token@api.databridge.ai")

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Constructor

Both clients share the same constructor parameters:

DataBridge(uri: Optional[str] = None, timeout: int = 30, is_local: bool = False)

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Parameters

• uri (str, optional): DataBridge URI in format “databridge://<owner_id>:<token>@<host>”. If not provided, connects to http://localhost:8000 without authentication.
• timeout (int, optional): Request timeout in seconds. Defaults to 30.
• is_local (bool, optional): Whether connecting to local development server. Defaults to False.

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Methods

DataBridge provides the following methods. Each method page includes both synchronous and asynchronous versions.

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Document Operations

• ingest_text
• ingest_file
• retrieve_chunks
• retrieve_docs
• query
• list_documents
• get_document
• get_document_by_filename
• update_document_with_text
• update_document_with_file
• update_document_metadata
• update_document_by_filename_with_text
• update_document_by_filename_with_file
• update_document_by_filename_metadata
• batch_get_documents
• batch_get_chunks

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Knowledge Graph Operations

• create_graph
• get_graph
• list_graphs

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Cache Operations

• create_cache
• get_cache

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Client Management

• close

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Context Manager

Using the DataBridge client as a context manager ensures that resources are properly closed when the context exits.

with DataBridge() as db:
    doc = db.ingest_text("Sample content")