Question Answering
Get AI-powered answers to questions about your vector store content. The system searches through your documents, retrieves the most relevant chunks, and generates context-aware responses with source file metadata for transparency. Perfect for building Q&A systems and knowledge bases from your document collections.
Command
Options
--top-k <n>
- Number of context chunks to use (default:10
)--threshold <score>
- Minimum relevance score for context chunks--return-metadata
- Include source file metadata in the response
Note: Default values for --top-k
can be configured using mxbai config
. See the Configuration Guide for details.
Examples
Search
Search through vector store content using natural language queries.
Sync
Sync files with intelligent change detection using Git-based analysis.
Last updated: July 5, 2025