Querying the Vector embeddings stored by Semantic Recall

I am using Mastra's Memory (https://mastra.ai/docs/memory/semantic-recall) to store the agent context and tool call output to the vector db. I was hoping to use this https://mastra.ai/docs/reference/tools/vector-query-tool to make the agent manually query the embeddings stored by Semantic recall too, instead of only querying the first time with the initial user prompt. What should I pass in as indexName for this to work?? Help would be appreciated 🙏🙏

Semantic Recall | Mastra Documentation

Learn how to use semantic recall in Mastra to retrieve relevant messages from past conversations using vector search and embeddings.

createVectorQueryTool() | Mastra Documentation

Documentation for the Vector Query Tool in Mastra, which facilitates semantic search over vector stores with filtering and reranking capabilities.