"""
embedding_database_search
Search for semantically similar documents in an embedding database. Uses OpenAI embeddings to con...
"""
from typing import Any, Optional, Callable
from ._shared_client import get_shared_client
[docs]
def embedding_database_search(
action: str,
database_name: str,
query: str,
top_k: int,
filters: dict[str, Any],
*,
stream_callback: Optional[Callable[[str], None]] = None,
use_cache: bool = False,
validate: bool = True,
) -> Any:
"""
Search for semantically similar documents in an embedding database. Uses OpenAI embeddings to con...
Parameters
----------
action : str
Action to search the database
database_name : str
Name of the database to search in
query : str
Query text to find similar documents for
top_k : int
Number of most similar documents to return
filters : dict[str, Any]
Optional metadata filters to apply to search results
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_search",
"arguments": {
"action": action,
"database_name": database_name,
"query": query,
"top_k": top_k,
"filters": filters,
},
},
stream_callback=stream_callback,
use_cache=use_cache,
validate=validate,
)
__all__ = ["embedding_database_search"]
