rikai ML extensions
pgext.cloud · Source code · Documentation · Control file
| Package | rikai |
|---|---|
| Version | 0.1 |
| Repository | Unspecified |
| Extension type | Standard |
| Project status | Active |
| Requires CREATE EXTENSION | Yes |
| Requires preload | No |
| Trusted | No |
| Relocatable | Yes |
| Stars | 5 |
| Latest commit | 2022-06-09 |
| Catalogue updated | 2026-08-30 |
| pg_deeplake | Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training. |
| fbsql | Closure-preserving formula-based statistical modeling in SQL |
| pg_onnx | ONNX Runtime integrated with PostgreSQL. Perform ML inference with data in your database. |
| pgpyml | Run scikit-learn machine-learning models inside PostgreSQL through PL/Python functions and triggers. |
| ecaz | Rust PostgreSQL extension for high-performance vector storage with broad quantization and index support. |
| pg_fela | The holy grail of AutoML for PG - self classifying and regressing tabular data! |
| aws_ml | Amazon Aurora PostgreSQL extension for invoking Amazon Comprehend, SageMaker AI, and Bedrock services from SQL. |
| google_ml_integration | Google Cloud machine learning integration extension for registering model endpoints, generating embeddings, and invoking predictions from SQL. |