tooluniverse.tools.embedding_database_search module

embedding_database_search

Search for semantically similar documents in an embedding database. Uses OpenAI embeddings to con…

tooluniverse.tools.embedding_database_search.embedding_database_search(action, database_name, query, top_k, filters, *, stream_callback=None, use_cache=False, validate=True)

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

Return type:

Any