Oracle Boosts AI Database: Loads Large Language Models for In-Database Vector Generation
infrastructure#llm📝 Blog|Analyzed: Mar 15, 2026 16:15•
Published: Mar 15, 2026 16:00
•1 min read
•Qiita AIAnalysis
Oracle's Autonomous AI Database has significantly improved its capabilities! The ability to load larger embedding models directly into the database opens exciting new possibilities for in-database vector generation, leading to enhanced performance and efficiency. This advancement simplifies workflows and unlocks the potential for more sophisticated AI applications.
Key Takeaways
- •Oracle Autonomous AI Database now supports loading large embedding models, overcoming the previous 1GB size limitation.
- •The update allows direct loading from object storage, bypassing the need to download model files to the database directory.
- •This enhancement improves performance by optimizing memory usage with in-memory sharing.
Reference / Citation
View Original"From Oracle Database 26ai (23.26.1), the size limit for embedding models in ONNX format (previously a 1GB limit) has been removed, and high-performance multilingual models like multilingual-e5-large can now be loaded into the database."