PostgreSQL extension for learned indexes - 2-10x faster queries with machine learning
pgext.cloud · Source code · Documentation · Control file
| Package | pg_learned |
|---|---|
| Version | 0.1.0 |
| Repository | Unspecified |
| Extension type | Standard |
| Project status | Active |
| Requires CREATE EXTENSION | Yes |
| Requires preload | No |
| Trusted | No |
| Relocatable | No |
| Stars | 0 |
| Latest commit | 2025-11-25 |
| Catalogue updated | 2026-08-30 |
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| pgpyml | Run scikit-learn machine-learning models inside PostgreSQL through PL/Python functions and triggers. |
| azure_ai | Azure Database for PostgreSQL extension for in-database calls to Azure AI, Azure OpenAI, Cognitive Services, and Azure Machine Learning. |
| aqua | In-database neural user-defined functions for machine-learning inference. |
| catboost | machine learning module using CatBoost |
| google_ml_integration | Google Cloud machine learning integration extension for registering model endpoints, generating embeddings, and invoking predictions from SQL. |
| pgdl | PostgreSQL extension for deep learning model inference and vector storage inside the database. |
| injection_points | Postgres rewritten in Rust, now passing 100% of the Postgres regression tests |