knowledge-base-quickref

Knowledge base ingest is streamlined through a managed interface that adds new sources and performs automated health checks to maintain data integrity. This prevents disorganized documentation by ensuring consistent data linting across the newly ingested corpus.

Semantic memory topology organizes entities, concepts, and cross-references within a managed corpus as a navigable graph. It acts as a layer over the semantic-memory kernel to facilitate advanced querying and consistent graph-native traversal.

To begin adding sources, run the kb-ingest discovery command to trigger the appropriate background processes. This action initiates the ingestion pipeline and integrates the new research corpus into your existing knowledge base.

Yes, the semantic memory kernel supports graph-native traversal by coordinating with a topology layer to manage cross-referenced entities and concepts. This integration ensures consistent data linting and enables advanced querying across the corpus.

The best way to monitor knowledge base health is to use the built-in discovery interface to perform automated health checks. These checks verify data integrity and ensure the semantic memory topology remains consistently linted.

Knowledge base ingest requires data linting to prevent fragmented or disorganized documentation across the corpus. Coordinating entities and concepts ensures the semantic memory topology maintains structural consistency for accurate graph traversal.