ExtractConceptsFromFile

Purpose

Extract [[WikiLink]] concepts from memory files to analyze what knowledge graph nodes exist in specific files before graph synchronization.

When to Use This Tool

• Before running Sync to see what concepts a file would contribute to the knowledge graph
• To audit existing memory files for concept density and knowledge graph connectivity
• When debugging why certain concepts aren't appearing in BuildContext results
• To validate that memory files contain proper [[WikiLink]] formatting before graph operations
• During content analysis to understand the conceptual structure of stored knowledge

Key Features

• WikiLink Extraction: Identifies all [[Concept Name]] patterns in file content
• Graph Node Discovery: Shows exactly what nodes would be added to the knowledge graph
• Content Validation: Helps identify files that lack proper concept linking
• Pre-Sync Analysis: Enables verification before expensive graph rebuild operations
• Debugging Support: Assists in troubleshooting missing concepts in graph queries

Parameters

Parameter	Type	Required	Description	Example
identifier	string	Yes	Memory FILE identifier (URI or title)	"memory://advanced-ai-concepts"

Usage Examples

Basic Extraction

{"identifier": "memory://machine-learning-fundamentals"}

Extracts all [[WikiLink]] concepts from the machine learning fundamentals file, showing concepts like [[Neural Networks]], [[Deep Learning]], [[Supervised Learning]].

Title-Based Lookup

{"identifier": "AI Research Notes"}

Finds the file by title and extracts concepts, useful when you remember the title but not the URI.

Pre-Sync Validation

{"identifier": "memory://new-research-paper"}

Validate that a newly created file contains proper [[concept]] links before running Sync to update the knowledge graph.

Common Patterns

• Content Audit: Extract concepts from multiple files to understand knowledge graph coverage
• Pre-Sync Check: Verify files have concepts before expensive graph rebuild operations
• Debug Missing Concepts: When BuildContext doesn't find expected connections, check if concepts exist in source files
• Quality Control: Ensure new memory files follow [[WikiLink]] conventions for graph connectivity
• Knowledge Mapping: Analyze what conceptual domains are covered in your memory collection

Related Tools

• Sync: Use ExtractConceptsFromFile to preview what concepts Sync will process from files
• BuildContext: After extraction, use BuildContext to explore how concepts relate in the knowledge graph
• SearchMemories: Find files containing specific concepts, then extract to see all concepts in those files
• WriteMemory/EditMemory: Ensure content has proper [[concepts]] before extraction analysis

Troubleshooting

No Concepts Found

• Issue: "No [[WikiLink]] concepts found in file"
• Solution: File content lacks double-bracketed concept names. Add [[Concept Name]] formatting to connect content to knowledge graph.

File Not Found

• Issue: "ERROR: Memory file not found: {identifier}"
• Solutions:
  • Verify URI format: should be "memory://filename" not "memory:filename"
  • Check file exists with ReadMemory or SearchMemories first
  • Ensure title matches exactly if using title-based lookup

Empty Results vs Expected Concepts

• Issue: Extraction shows fewer concepts than expected
• Solutions:
  • Check for proper [[double bracket]] formatting (not [single] or ((double parens)))
  • Verify concepts aren't split across lines: [[Concept]] not [[\nConcept]]
  • Look for typos in bracket formatting: [[Concept]]] (extra bracket) won't match

Performance with Large Files

• Issue: Slow extraction from very large files
• Solutions:
  • ExtractConceptsFromFile is optimized for Ma Protocol 250-line files
  • For oversized files, consider splitting content using EditMemory with replace_section
  • Large files may indicate violation of maenifold architectural principles

Integration Examples

Pre-Sync Workflow

1. ExtractConceptsFromFile → See what concepts exist
2. Sync → Update knowledge graph with those concepts  
3. BuildContext → Explore the newly connected concept relationships

Content Quality Pipeline

1. WriteMemory → Create file with [[concepts]]
2. ExtractConceptsFromFile → Verify concepts were properly formatted
3. SearchMemories → Confirm file is discoverable via concept search

Debug Missing Connections

1. BuildContext fails to find expected connections
2. ExtractConceptsFromFile → Check if concepts exist in source files
3. If missing: EditMemory to add proper [[WikiLink]] formatting
4. Sync → Rebuild graph with corrected concept links

Technical Notes

• File Format: Works with maenifold markdown files containing YAML frontmatter
• URI Resolution: Supports both memory:// URIs and title-based file lookup
• Concept Format: Extracts only [[double bracketed]] text as valid concepts
• Case Sensitivity: Concept extraction preserves exact case from file content
• Performance: Optimized for Ma Protocol file sizes (under 250 lines)
• Graph Independence: Shows concepts without requiring knowledge graph to be built