Kolibrie Documentation

Kolibrie is a high-performance SPARQL query engine and RDF database built in Rust, supporting multi-format RDF ingestion, full SPARQL 1.1, sliding-window stream processing (RSP-QL), rule-based knowledge graph reasoning, ML integration, Python bindings, and a built-in HTTP server.

In This Documentation

Whether you are running one-off SPARQL queries, processing live sensor data through sliding windows, applying logic rules to derive new facts, or integrating ML predictions — these guides walk through each capability with complete, working code examples.

Table of Contents

1. Getting Started — Installation (native, Docker, Python), your first query
2. Core Concepts — RDF, SPARQL, and what Kolibrie adds
3. SPARQL Tutorial — Queries from simple SELECT to advanced patterns
4. Stream Processing — RSP-QL windowed queries, RSTREAM/ISTREAM/DSTREAM
5. Knowledge Graph & Reasoning — Rules, inference, integrity constraints
6. Performance & Optimization — Multi-threading, GPU/CUDA, query tuning
7. API Reference — Complete Rust and Python API reference