The Index: Vector Search, OpenAI, and a Recap of AWS re:Invent 2023

AWS re:Invent 2023 - Improve your search with vector capabilities in OpenSearch Service (ANT210)Подробнее

AWS re:Invent 2023 - Utilizing machine learning & vector databases for advanced AI search (BOA312)Подробнее

AWS re:Invent 2023-Vector database and zero-ETL capabilities for Amazon OpenSearch Service (ANT353)Подробнее

AWS re:Invent 2023 - Best practices for querying vector data for gen AI apps in PostgreSQL (DAT407)Подробнее

AWS re:Invent 2023 - What’s new in Amazon OpenSearch Service (ANT301)Подробнее

AWS re:Invent 2023 - Ultra-low latency vector search for Amazon MemoryDB for Redis (DAT346)Подробнее

Vector databases are so hot right now. WTF are they?Подробнее

Vector Databases simply explained! (Embeddings & Indexes)Подробнее

Vector Search: The Future of Data Querying Explained | Semantic SearchingПодробнее

AWS re:Invent 2023 - Augment creative thinking & boost productivity with AWS generative AI (AIM211)Подробнее

AWS re:Invent 2023 - Curate your data at scale (ANT205)Подробнее

OpenAI Embeddings and Vector Databases Crash CourseПодробнее

Demo - Azure Cognitive Search + Azure OpenAI serviceПодробнее

AWS re:Invent 2023 - Scaling FM inference to hundreds of models with Amazon SageMaker (AIM327)Подробнее

Vector Search RAG Tutorial – Combine Your Data with LLMs with Advanced SearchПодробнее

Amazon OpenSearch Service for Vector Search: Demo | Amazon Web ServicesПодробнее

AWS re:Invent 2023 - Navigating the future of AI: Deploying generative models on Amazon EKS (CON312)Подробнее