Oracle introduces integrated vector database to augment generative AI and dramatically increase developer productivity: [ Ссылка ]

Join Juan Loaiza, executive vice president of mission-critical database technologies at Oracle, to hear how to access and manage the data you need with ease, integrate new streams without silos, as well as garner and share your insights. Data is key to your competitive advantage—learn how you can use it to its full potential.

00:00 Introducing Juan Loaiza, Mission-Critical Database Technologies
00:31 Introduction to the future of data and app development
01:55 Transformational strategies
02:24 Declarative intent in data systems
03:08 History of data management models
04:57 Challenges faced by developers
06:44 Hierarchical data in relational databases
08:11 Unifying relational and document data
09:33 The downsides of hierarchical storage models
10:17 The breakthrough idea: declare data usage intent
10:29 Intent-driven data storage
11:38 Data language gaps
12:46 JSON relational duality introduction
13:16 Implementation of JSON Relational Duality
15:30 Efficiency and performance
16:49 Consistency and flexibility
18:25 Application development benefits
19:22 Duality vs. other models
20:03 Technical advantages
20:30 JSON Relational Duality
22:12 Developer-friendly schema mechanisms
23:06 Unifying data models
24:15 Property graph views
27:13 Multi-model application development
28:48 Availability and future strategy
29:59 Oracle APEX and low-code development
31:38 Extending low-code for various use cases
32:35 Importance of data usage intent in low-code
33:55 Low-code in analytics and data warehousing
34:51 AI and declarative intent
35:46 AI vectors and unstructured data
38:35 Vectors for document similarity
39:17 Utilizing vectors for diverse use cases
40:42 Example of semantic search in a house-hunting app
41:54 Integrating business and semantic data
43:19 Implementation details
44:56 Combining business data with AI vector data
45:54 Accessibility and simplicity
46:49 Vector data operations
47:29 Vector index and database partitioning
49:08 Data sharding and regulatory compliance
50:18 Vector search meets generative AI
52:37 Mechanism of retrieval augmented generation
54:26 Introducing Aidan Gomez, CEO & Co-Founder of Cohere
55:35 Cohere company overview
56:27 Vector databases and AI for knowledge augmentation
57:37 Challenges and solutions in generative AI
59:42 Training vs. retrieval augmented generation
01:00:51 Future developments and embedding models
01:02:13 Real-world application and noisy data
01:03:31 Generative AI in SQL and low-code development
01:05:19 Generative AI in app development
01:06:14 AI for routine database management
01:07:08 Limits and roles of generative AI
01:08:30 AI-driven blueprint generation
01:09:52 The future of databases and app development
01:11:32 Accelerating productivity with AI and low code

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