Vector Search & Retrieval-Augmented Generation w/Amazon OpenSearch | The Data Dive on AWS OnAir S01
![](https://i.ytimg.com/vi/v-gYNFBZWks/mqdefault.jpg)
28:13
AWS Summit Sydney 2024: Improve your search with vector capabilities in OpenSearch Service
![](https://i.ytimg.com/vi/MpmV-MehtWs/mqdefault.jpg)
59:29
How to use Aurora as a Knowledge Base for Amazon Bedrock for RAG | The Data Dive on AWS OnAir S01
![](https://i.ytimg.com/vi/sdcuI3c6HCI/mqdefault.jpg)
59:43
Make the most of your upgrade to Amazon Aurora MySQL version 3 | The Data Dive on AWS OnAir S01
![](https://i.ytimg.com/vi/LF7I6raAIL4/mqdefault.jpg)
34:22
How to build Multimodal Retrieval-Augmented Generation (RAG) with Gemini
![](https://i.ytimg.com/vi/QoaFYmpXvak/mqdefault.jpg)
51:24
AWS re:Invent 2023 - Explore text-generation FMs for top use cases with Amazon Bedrock (AIM333)
![](https://i.ytimg.com/vi/orLGv2LgWDE/mqdefault.jpg)
29:04
RAG, semantic search, embedding, vector... Find out what the terms used with Generative AI mean!
![](https://i.ytimg.com/vi/ol-UBfYcKUI/mqdefault.jpg)
55:24
AWS re:Invent 2023-Vector database and zero-ETL capabilities for Amazon OpenSearch Service (ANT353)
![](https://i.ytimg.com/vi/cpLi-82koFM/mqdefault.jpg)
44:59