"""Knowledge base search MCP tool."""

from typing import Any


async def search_knowledge_base(
    query: str,
    tenant_id: str,
    limit: int = 10,
    include_embeddings: bool = False,
) -> dict[str, Any]:
    """Search REM memory for relevant information.

    Performs hybrid search across Resources, Entities, and Moments:
    - Vector search for semantic similarity
    - Fuzzy search for entity name matching
    - Graph traversal for relationship discovery

    Args:
        query: Search query string
        tenant_id: Tenant identifier for data scoping
        limit: Maximum results to return
        include_embeddings: Whether to include embedding vectors

    Returns:
        Search results with resources, entities, and moments

    Example:
        >>> results = await search_knowledge_base(
        ...     query="What is percolate?",
        ...     tenant_id="tenant-123"
        ... )
        >>> len(results["resources"])
        5
    """
    # TODO: Implement search via REM memory engine
    raise NotImplementedError("Knowledge base search not yet implemented")
