kb

You can query a knowledge base using natural language by submitting plain text questions like "What do we know about encryption at rest?" to retrieve relevant entries. The system processes conversational queries to locate matching information without requiring structured syntax.

Structured filtering for knowledge base entries involves applying specific criteria to retrieve targeted information. This approach allows you to narrow down results based on defined parameters rather than relying solely on natural language search.

Create new topics in a structured knowledge base by using the topic creation feature to add entries. This expands the coverage of your knowledge organization system by establishing new categories for information retrieval.

Yes, managing a knowledge base requires access to a dedicated knowledge base directory along with supporting scripts. These scripts handle the processing of queries and the management of topics within that directory.

The best way to organize information for topic management is through a structured knowledge base that supports both natural language queries and structured filtering. This enables efficient information retrieval and topic expansion.

If your natural language query does not return expected results, the topic may not exist in the knowledge base directory yet. Try creating a new topic or using structured filtering with specific criteria to locate the entries.