sqlitegraph 0.3.0

Embedded graph database with HNSW vector search — Python bindings to the sqlitegraph Rust crate.

sqlitegraph

Python bindings to the sqlitegraph embedded graph database. Storage, graph algorithms, and HNSW vector search run in a reviewed Rust core; this package is the Pythonic surface.

Alpha — API subject to change before 1.0.

Install

pip install sqlitegraph

Quick start

from sqlitegraph import Graph

g = Graph.open_in_memory()
alice = g.add_node(kind="User", name="Alice", data={"age": 30})
order = g.add_node(kind="Order", name="Order-123")
g.add_edge(alice, order, "placed")

print(g.neighbors(alice))

Examples

The examples/ directory contains runnable scripts:

Example	What it shows
01_basic_crud.py	Nodes, edges, update, delete, query by kind/pattern, degrees
02_graph_algorithms.py	BFS, k-hop, shortest path, PageRank, Louvain communities, connected components
03_vector_search.py	HNSW index creation, insert, search, bulk insert, index listing
04_social_network.py	Realistic network: influencers (PageRank), communities, connection paths, mutual follows
05_file_backed.py	Persistent Graph.open(path), checkpoint, reopen, cleanup

Run any example from the repo root:

cd sqlitegraph-py
source .venv/bin/activate
python examples/01_basic_crud.py