query_vectorstore
Search a knowledge base using semantic, keyword, or hybrid methods to find relevant information from vectorized content.
Instructions
Search the knowledge base vector store.
Supports semantic search (vector similarity), keyword search (full-text),
or hybrid search combining both with RRF reranking. Results are cached for performance.
Args:
query: The search query text
top_k: Maximum number of results to return (default: 10)
search_type: Type of search - semantic, keyword, or hybrid (default)
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| top_k | No | ||
| search_type | No | hybrid |