vital-graph 0.0.18

VitalGraph

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) - now included by default
• AI capabilities (openai) - now included by default
• HTTP client (requests)
• 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)
• TiDB integration (pytidb[models], pytidb)

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

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.server): FastAPI-based graph database server
• Database Layer (vitalgraph.db): PostgreSQL integration with SPARQL translation
• Admin Tools (vitalgraphadmin): Database administration utilities

Documentation

• Installation Guide
• Client API Reference
• Server Configuration
• SPARQL Examples

License

Apache License 2.0