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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

Metadata

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