Amazon Neptune #GraphThat Series Episode 3 - GenAI and Knowledge Graphs | Amazon Web Services
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Опубликовано 7 августа 2024, 23:30
The #GraphThat series features Amazon Neptune specialists taking public datasets and converting them to a graph model optimized for Amazon Neptune. This is a common request from customers for assistance creating their graph data model, so we hope this series will inspire and educate on this subject. In episode 3, we explore the world of LLMs and Knowledge Graphs, specifically Retrieval-Augmented Generation (RAG), Graphs+RAG (or GraphRAG), and how to get started with LLMs using a pre-existing Knowledge Graph built before LLMs. Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Neptune is a purpose-built, high-performance graph database engine. This engine is optimized for storing billions of relationships and querying the graph with milliseconds latency.
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Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#GraphThat #AWS #AmazonWebServices #CloudComputing
Learn more at: go.aws/home
Subscribe:
More AWS videos: go.aws/3m5yEMW
More AWS events videos: go.aws/3ZHq4BK
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#GraphThat #AWS #AmazonWebServices #CloudComputing
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