VitalGraph
VitalGraph is a high-performance knowledge graph database and client library built on PostgreSQL with full SPARQL 1.1 support.
Installation
VitalGraph offers flexible installation options depending on your use case:
Client Only (Default - Lightweight)
For applications that only need to connect to existing VitalGraph servers:
pip install vital-graph[client]
This installs dependencies for the VitalGraph client library:
- Basic RDF processing (rdflib, PyLD)
- Advanced graph processing (pyoxigraph)
- AI capabilities (openai)
- HTTP client (httpx, aiohttp)
- Configuration management (PyYAML, pydantic)
- CLI tools (click-repl, tabulate)
Server Installation
For running a complete VitalGraph server with database capabilities:
pip install vital-graph[server]
This includes all server dependencies:
- FastAPI web framework and uvicorn server
- PostgreSQL drivers (psycopg, asyncpg)
- Database ORM (SQLAlchemy, alembic)
- Vector database support (pgvector)
- Authentication (PyJWT, email-validator)
- ML/vectorization (torch, transformers, sentencepiece)
- Fuzzy search (rapidfuzz, jellyfish, datasketch)
Development Setup
For development with all tools:
pip install vital-graph[dev]
Includes pytest, black, mypy, and other development tools.
Full Installation
For everything:
pip install vital-graph[all]
Custom Combinations
You can combine multiple extras:
pip install vital-graph[client,dev]
pip install vital-graph[server,test,docs]
Quick Start
Client Usage
from vitalgraph.client import VitalGraphClient
# Initialize client with config file
client = VitalGraphClient("path/to/config.yaml")
# Connect to server
await client.open()
# Execute SPARQL queries
results = await client.sparql.query("SELECT ?s ?p ?o WHERE { ?s ?p ?o } LIMIT 10")
# Close connection
await client.close()
Server Usage
# Start VitalGraph server
vitalgraphdb
# Or with custom config
vitalgraphdb --config /path/to/vitalgraphdb-config.yaml
Data Import/Export
# Import RDF data (N-Triples, N-Quads, Turtle, JSONL, VitalSigns Block)
vitalgraphimport -s my_space -f data.nt
vitalgraphimport -s my_space -f entities.vital --format vital
# Export RDF data
vitalgraphexport -s my_space -f backup.nq
vitalgraphexport -s my_space -f entities.vital --format vital --entity-type-uri urn:PersonEntity
# See all options
vitalgraphimport --help
vitalgraphexport --help
Import/export is also available via the REST API (/api/data/import, /api/data/export) and the frontend Data Management page.
Features
- Full SPARQL 1.1 Support: SELECT, CONSTRUCT, ASK, DESCRIBE, UPDATE operations
- High Performance: PostgreSQL-backed with optimized query translation
- RESTful API: Complete REST API for all operations
- Client Library: Python client with authentication and session management
- Docker Support: Ready-to-use Docker containers
- Knowledge Graph Types: Built-in support for VitalSigns ontologies
- Real-time Updates: WebSocket support for live data updates
Architecture
VitalGraph consists of:
- Client Library (
vitalgraph.client): Lightweight REST API client - Server (
vitalgraph.api): FastAPI-based graph database server - SPARQL-to-SQL Engine (
vitalgraph.db.sparql_sql): Translates SPARQL 1.1 to PostgreSQL - Jena Sidecar (
vitalgraph-jena-sidecar): Java service for SPARQL algebra compilation - React Admin UI (
frontend): Web interface for space/graph/entity management - Admin Tools (
vitalgraphadmin): Database administration utilities - Import/Export CLIs (
vitalgraphimport,vitalgraphexport): Standalone data import/export tools - TypeScript Client (
vitalgraph-client-ts): TypeScript/JS client SDK
Documentation
License
Apache License 2.0
1 maintainer
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