AI for Data Made Simple
summary
Oracle announces Oracle Database 23ai with over 300 new major features and thousands of enhancements, embedding machine learning, vector search and generative AI into the core. It adds a vector data type and AI Vector Search that combines semantic vectors with relational filters in six lines of SQL, in-database AutoML that builds models in nine lines and scores in two, ONNX and LangChain support for embeddings, Select AI natural-language→SQL, GoldenGate 23ai for multi‑database replication, and Exadata 24ai storage offload for much faster vector queries.
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chapters (13)
- 0:00Oracle Database 23ai intro
- 1:06Developers and highlights
- 4:45AI for Data overview
- 5:29Algorithmic AI capabilities
- 7:21Vector search explained
- 10:13Vector search demo
- 13:47Generative AI with RAG
- 14:54Distributed AI with GoldenGate
- 16:41Storage AI with Exadata
- 17:23AI tools and integration
- 19:10Select AI demo
- 20:59Future of AI for Data
- 22:25Conclusion
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