Crate sqlite_knowledge_graph 

SQLite-based Knowledge Graph Library

This library provides a knowledge graph implementation built on SQLite with support for:

• Entities with typed properties
• Relations between entities with weights
• Vector embeddings for semantic search
• Custom SQLite functions for direct SQL operations
• RAG (Retrieval-Augmented Generation) query functions
• Graph algorithms (PageRank, Louvain, Connected Components)

SQLite Extension

This crate can be compiled as a SQLite loadable extension:

cargo build --release
sqlite3 db.db ".load ./target/release/libsqlite_knowledge_graph.dylib"
sqlite3 db.db "SELECT kg_version();"

Re-exports

pub use algorithms::analyze_graph;

pub use algorithms::connected_components;

pub use algorithms::louvain_communities;

pub use algorithms::pagerank;

pub use algorithms::CommunityResult;

pub use algorithms::PageRankConfig;

pub use embed::check_dependencies;

pub use embed::get_entities_needing_embedding;

pub use embed::EmbeddingConfig;

pub use embed::EmbeddingGenerator;

pub use embed::EmbeddingStats;

pub use error::Error;

pub use error::Result;

pub use extension::sqlite3_sqlite_knowledge_graph_init;

pub use functions::register_functions;

pub use graph::Direction;

pub use graph::GraphStats;

pub use graph::PathStep;

pub use graph::TraversalNode;

pub use graph::TraversalPath;

pub use graph::TraversalQuery;

pub use graph::Entity;

pub use graph::Neighbor;

pub use graph::Relation;

pub use graph::HigherOrderNeighbor;

pub use graph::HigherOrderPath;

pub use graph::HigherOrderPathStep;

pub use graph::Hyperedge;

pub use migrate::build_relationships;

pub use migrate::migrate_all;

pub use migrate::migrate_papers;

pub use migrate::migrate_skills;

pub use migrate::MigrationStats;

pub use schema::create_schema;

pub use schema::schema_exists;

pub use vector::cosine_similarity;

pub use vector::SearchResult;

pub use vector::VectorStore;

pub use vector::TurboQuantConfig;

pub use vector::TurboQuantIndex;

pub use vector::TurboQuantStats;

Modules

algorithms

embed

Vector embedding generation module for semantic search.

error

Error types for sqlite-knowledge-graph.

extension

SQLite extension entry point using sqlite-loadable

functions

SQLite custom functions for knowledge graph operations.

graph

Graph module for entity and relation storage.

migrate

Data migration module for importing external knowledge sources.

schema

Database schema creation and management.

vector

Vector module for semantic search with cosine similarity and TurboQuant indexing.

Structs

GraphContext

Graph context for an entity (root + neighbors).

HybridSearchResult

Hybrid search result combining semantic similarity and graph context.

KnowledgeGraph

Knowledge Graph Manager - main entry point for the library.

SearchResultWithEntity

Semantic search result with entity information.