AWS re:Invent 2023 - Best practices for querying vector data for gen AI apps in PostgreSQL (DAT407) Published 2023-11-28 Download video MP4 360p Recommendations 56:33 AWS re:Invent 2023 - Data patterns for generative AI applications (DAT338) 15:02 DelphiMVCFramework: 7 استعمال قواعد البيانات بواسط ORM 58:51 AWS re:Invent 2023 - Use RAG to improve responses in generative AI applications (AIM336) 48:22 AWS re:Invent 2023 - [LAUNCH] Achieving scale with Amazon Aurora Limitless Database (DAT344) 57:22 AI Security: Understanding the Threat Landscape 1:10:37 pgvector: Stylish Hierarchical Navigable Small World Indexes (Jonathan Katz) 59:47 AWS re:Invent 2023 - Advanced data modeling with Amazon DynamoDB (DAT410) 04:23 Vector Databases simply explained! (Embeddings & Indexes) 57:24 Terence Tao at IMO 2024: AI and Mathematics 44:21 Vector Search Isn’t Enough | BRKFP301H 1:51:28 AWS re:Invent 2023 - Keynote with Dr. Swami Sivasubramanian 44:59 Why are vector databases so FAST? 1:01:05 AWS re:Invent 2023 - Innovate faster with generative AI (AIM245) 03:22 Vector databases are so hot right now. WTF are they? 56:48 AWS re:Invent 2023 - Data modeling core concepts for Amazon DynamoDB (DAT329) 1:00:16 AWS re:Invent 2023 - Improve your search with vector capabilities in OpenSearch Service (ANT210) 30:06 Postgres pgvector Extension - Vector Database with PostgreSQL / Langchain Integration