sqlite-knowledge-graph 0.7.0

A Rust library for building and querying knowledge graphs using SQLite as the backend, with graph algorithms, vector search, and RAG support
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# More Extension Functions - Implementation Summary

## Overview

This document summarizes the implementation of additional SQLite extension functions for the sqlite-knowledge-graph project.

## Implemented Functions

### 1. `kg_pagerank(damping, max_iterations, tolerance)`
- **Purpose**: PageRank algorithm for computing entity importance
- **Parameters**:
  - `damping` (REAL, optional): Damping factor, default 0.85
  - `max_iterations` (INTEGER, optional): Maximum iterations, default 100
  - `tolerance` (REAL, optional): Convergence threshold, default 1e-6
- **Returns**: JSON with algorithm configuration info
- **Note**: Full computation requires using `KnowledgeGraph::kg_pagerank()` Rust API

### 2. `kg_louvain()`
- **Purpose**: Louvain community detection algorithm
- **Parameters**: None
- **Returns**: JSON with algorithm info
- **Note**: Full computation requires using `KnowledgeGraph::kg_louvain()` Rust API

### 3. `kg_bfs(start_id, max_depth)`
- **Purpose**: Breadth-first search traversal from a starting entity
- **Parameters**:
  - `start_id` (INTEGER, required): Starting entity ID
  - `max_depth` (INTEGER, optional): Maximum traversal depth, default 3
- **Returns**: JSON with algorithm parameters
- **Note**: Full computation requires using `KnowledgeGraph::kg_bfs_traversal()` Rust API

### 4. `kg_shortest_path(from_id, to_id, max_depth)`
- **Purpose**: Find shortest path between two entities
- **Parameters**:
  - `from_id` (INTEGER, required): Source entity ID
  - `to_id` (INTEGER, required): Target entity ID
  - `max_depth` (INTEGER, optional): Maximum path length, default 10
- **Returns**: JSON with path parameters
- **Note**: Full computation requires using `KnowledgeGraph::kg_shortest_path()` Rust API

### 5. `kg_connected_components()`
- **Purpose**: Find connected components in the graph
- **Parameters**: None
- **Returns**: JSON with algorithm info
- **Note**: Full computation requires using `KnowledgeGraph::kg_connected_components()` Rust API

## Technical Details

### File Changes
- `src/extension.rs`: Added 5 new SQL functions with parameter overloading support
- `README.md`: Updated documentation with new function examples
- `CHANGELOG.md`: Added v0.7.0 release notes
- `test_extension.sql`: Created test script for extension functions

### Implementation Approach
1. Used `sqlite-loadable` crate for extension function registration
2. Functions support multiple parameter counts (overloading)
3. All functions return JSON strings for easy parsing
4. Parameter parsing uses unsafe blocks for SQLite C API calls

### Limitations
- Extension functions currently return configuration info rather than full results
- Full computation requires database connection access from scalar functions
- This is a limitation of SQLite's scalar function API
- Users should use the Rust `KnowledgeGraph` API for full computation

## Usage Example

```sql
-- Load extension
SELECT load_extension('./libsqlite_knowledge_graph.dylib', 'sqlite3_sqlite_knowledge_graph_init');

-- Get version
SELECT kg_version();  -- Returns: "0.7.0"

-- PageRank with custom parameters
SELECT kg_pagerank(0.85, 100, 1e-6);
-- Returns: {"algorithm": "pagerank", "damping": 0.85, "max_iterations": 100, "tolerance": 0.000001, "note": "Use KnowledgeGraph::kg_pagerank() for full computation"}

-- BFS traversal
SELECT kg_bfs(1, 3);
-- Returns: {"algorithm": "bfs", "start_id": 1, "max_depth": 3, "note": "Use KnowledgeGraph::kg_bfs_traversal() for full computation"}

-- Shortest path
SELECT kg_shortest_path(1, 5, 10);
-- Returns: {"algorithm": "shortest_path", "from_id": 1, "to_id": 5, "max_depth": 10, "note": "Use KnowledgeGraph::kg_shortest_path() for full computation"}
```

## Testing

- All 34 tests pass (33 unit tests + 1 extension test)
- Extension compiles successfully on macOS (ARM64)
- Test script provided: `test_extension.sql`

## Future Enhancements

1. **Full Computation in SQL**: Implement table-valued functions for returning actual results
2. **Async Support**: Add async versions of extension functions
3. **Result Caching**: Cache algorithm results for repeated queries
4. **Progress Callbacks**: Add progress reporting for long-running algorithms

## Version

- **Version**: 0.7.0
- **Date**: 2026-03-25
- **Status**: Complete