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One post tagged with "Rag"

Rag is one of the buzzwords tha is floating around when talking about AI. I'll introduce some basics here - using hands-on articles.

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Everything You Need to Know About Graph Databases & Neo4j

Understanding graph databases - key concepts and benefits

· 17 min read View Comments
Martin Jurran
Software Engineer - OSS, golang, .NET

(Photo by the author, illustrations by Takashi Mifune under free use)

(Photo by the author, illustrations by Takashi Mifune under free use)

Storing and processing data is an elementary task of software engineering. In the early days of large-scale professional development, relational databases such as Oracle, IBM DB2 and SQL were dominant. Data manipulation systems cannot easily work with structural or relational data, but only with flat data representations. [1] Graph databases try to bridge the gap between relational and flat data representations, while making it easier to access information. [2] The most popular representative of this type of database is Neo4j. [3]