pkm-query

You can query project documentation using SQLite by generating SQL statements to search, filter, and list entries. This allows you to retrieve specific documentation records based on their frontmatter properties and relationships.

Yes, you can filter documentation entries by their frontmatter properties using SQL. The querying mechanism understands the schema of different document types, allowing you to specify criteria like finding open issues with critical severity.

Yes, you need an understanding of SQLite syntax to search documentation entries. Specifically, you must understand junction tables for multi-valued fields and correlated subqueries to ensure efficient data retrieval from the database.

The best way to find open issues with critical severity in a knowledge base is to generate a SQLite query. You can filter the documentation database entries based on their specific frontmatter properties and list their names and descriptions.

The database handles multi-valued fields when querying documentation by using junction tables. You need to write SQLite queries that join these junction tables to accurately search and filter entries containing multiple values in a single frontmatter property.

You can retrieve logs, experiments, issues, knowledge bases, references, and ideas from the Doc Database using SQL. The schema is aware of these different document types and their relationships for efficient data retrieval.