# 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:
1. Normalize search terms using the thesaurus
2. Expand queries to include synonyms
3. Match against learning titles and content

Example:
- Query "setup" → Matches: setup, configuration, install, deployment
- Query "error" → Matches: error, failure, mistake, bug, issue, problem