1.4 KiB
1.4 KiB
Learning Capture Knowledge Graph
Role: Learning Capture System
This knowledge graph provides semantic search capabilities for the learning capture system.
Thesaurus
- Source:
learning_thesaurus.json - Purpose: Map synonyms for enhanced search
- Coverage: Learning, configuration, git, AI assistant, tools, storage, context, retrieval, failure, documentation
Key Concepts
Knowledge (ID: 1)
- learning, knowledge, lesson, insight, discovery
Configuration (ID: 2)
- setup, configuration, install, deployment, initialize
Git (ID: 3)
- gitea, git, github, repository, version control
AI Assistant (ID: 4)
- terraphim, ai assistant, agent, claude, kimi
Tool (ID: 5)
- skill, tool, capability, function, feature
Storage (ID: 6)
- memory, storage, persistence, database
Context Management (ID: 7)
- arscontexta, onecontext, context, progress
Retrieval (ID: 8)
- search, retrieval, query, find, lookup
Failure (ID: 9)
- error, failure, mistake, bug, issue, problem
Documentation (ID: 10)
- documentation, docs, guide, manual, readme
Usage
When querying learnings, the system will:
- Normalize search terms using the thesaurus
- Expand queries to include synonyms
- Match against learning titles and content
Example:
- Query "setup" → Matches: setup, configuration, install, deployment
- Query "error" → Matches: error, failure, mistake, bug, issue, problem