"""
embedding_database_create
Create a new embedding database from a collection of documents. Generates embeddings using OpenAI...
"""
from typing import Any, Optional, Callable
from ._shared_client import get_shared_client
[docs]
def embedding_database_create(
action: str,
database_name: str,
documents: list[Any],
metadata: list[Any],
model: str,
description: str,
*,
stream_callback: Optional[Callable[[str], None]] = None,
use_cache: bool = False,
validate: bool = True,
) -> Any:
"""
Create a new embedding database from a collection of documents. Generates embeddings using OpenAI...
Parameters
----------
action : str
Action to create database from documents
database_name : str
Name for the new database (must be unique)
documents : list[Any]
List of document texts to embed and store
metadata : list[Any]
Optional metadata for each document (same length as documents)
model : str
OpenAI/Azure OpenAI embedding model to use
description : str
Optional description for the database
stream_callback : Callable, optional
Callback for streaming output
use_cache : bool, default False
Enable caching
validate : bool, default True
Validate parameters
Returns
-------
Any
"""
# Handle mutable defaults to avoid B006 linting error
return get_shared_client().run_one_function(
{
"name": "embedding_database_create",
"arguments": {
"action": action,
"database_name": database_name,
"documents": documents,
"metadata": metadata,
"model": model,
"description": description,
},
},
stream_callback=stream_callback,
use_cache=use_cache,
validate=validate,
)
__all__ = ["embedding_database_create"]
