Show HN: Algeon – Compose GPU graph, vector, and ML algorithms in SQL

Category: database

Tags: gpu, sql, datafusion, cugraph, machine-learning, vector-search, query-engine

Score: 8.0/10 (Innovation: 8, Technical: 9, Documentation: 9, Utility: 6)

Algeon is a GPU-accelerated query engine built on Apache DataFusion that exposes NVIDIA cuGraph, cuVS, and cuML algorithms as SQL table functions. It enables composing graph, vector, and ML pipelines directly within SQL statements over Parquet data, with results feeding joins and aggregations in the same query. The project is technically ambitious, integrating GPU execution into a relational engine, but remains experimental with limitations around single-GPU memory and Parquet-only sources.

Target audience: data engineers, data scientists, backend developers, AI/ML engineers

Repository: https://github.com/algeon-dev/algeon · Rust · Apache-2.0 · 1 stars

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