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macOS/Linux (Homebrew)\npip install graphqlite        # Python\ncargo add graphqlite          # Rust\n```\n\n## Quick Start\n\n```python\nfrom graphqlite import Graph\n\ng = Graph(\":memory:\")\ng.upsert_node(\"alice\", {\"name\": \"Alice\", \"age\": 30}, label=\"Person\")\ng.upsert_node(\"bob\", {\"name\": \"Bob\", \"age\": 25}, label=\"Person\")\ng.upsert_edge(\"alice\", \"bob\", {\"since\": 2020}, rel_type=\"KNOWS\")\n\n# Query with Cypher\nresults = g.query(\"MATCH (a:Person)-[:KNOWS]-\u003e(b) RETURN a.name, b.name\")\n\n# Built-in graph algorithms\ng.pagerank()\ng.louvain()\ng.dijkstra(\"alice\", \"bob\")\n```\n\n## Features\n\n- **Cypher queries** — MATCH, CREATE, MERGE, SET, DELETE, WITH, UNWIND, RETURN\n- **Graph algorithms** — PageRank, Louvain, Dijkstra, BFS/DFS, connected components, and more\n- **Zero configuration** — Works with any SQLite database, no server required\n- **Multiple bindings** — Python, Rust, and raw SQL interfaces\n\n## Documentation\n\n**[Full Documentation](https://colliery-io.github.io/graphqlite/)** — Tutorials, how-to guides, and API reference\n\n## Examples\n\n```bash\n# SQL tutorials\nsqlite3 \u003c examples/sql/01_getting_started.sql\n\n# GraphRAG with HotpotQA dataset\ncd examples/llm-graphrag\nuv sync \u0026\u0026 uv run python ingest.py\nuv run python rag.py \"Were Scott Derrickson and Ed Wood of the same nationality?\"\n```\n\n## License\n\n[MIT](LICENSE)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcolliery-io%2Fgraphqlite","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcolliery-io%2Fgraphqlite","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcolliery-io%2Fgraphqlite/lists"}