In this video, Khendr’a Reid, Principal Data Strategy Tech Specialist at AWS, Marc Clark, Worldwide GTM Leader for Amazon OpenSearch at AWS, to discuss how Amazon OpenSearch can be leveraged as a vector database to improve accuracy for generative AI models.
Intro - 00:00 - 01:31
What is Amazon OpenSearch? - 01:31 - 02:33
What is a vector database and how can Amazon OpenSearch be leveraged as one? - 02:33 - 05:57
Discussion of the full capabilites of Amazon OpenSearch - 05:57 - 07:29
How to choose the right vector database to use? - 07:29 - 09:22
How to get started with Amazon OpenSearch as a vector database? - 09:22 - 09:51
Closing - 09:51 - 10:31
About Data Strategy Unravelled:
A New Vantage study found 97% of blue-chip companies are investing in data, yet only 27% have successfully created a data driven organization. Data Strategy Unravelled is a video series intended to help organizations become data-driven. This series interviews experienced professionals from both the business and technical realms to discuss topics and strategies that organizations can implement to become data-driven.
More Resources:
The role of vector datastores in generative AI Applications - https://aws.amazon.com/blogs/database/the-role-of-vector-datastores-in-generative-ai-applications
Amazon OpenSearch Service's vector database capabilites explained - https://aws.amazon.com/blogs/big-data/amazon-opensearch-services-vector-database-capabilities-explained
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