While these data management technologies may not be as exciting as RAG, if CIOs want their shiny new toys to work properly, Vector DBs and Knowledge Graphs need to be a top priority.

Since the launch of Neptune in 2018, it has become one of the leading services for storing graph data and performing updates and election on specific subside of the graph. However, one of the ...

He explained that the new service helps customers analyze existing Neptune graph data or data lakes on top of S3 storage, taking advantage of vector search to find key insights.

As the saying goes, context is everything – and this is certainly the case with AI. To be useful, AI systems need to be able to understand nuance and deliver accurate, relevant results. Our ability to ...

TL;DR Key Takeaways : GraphRAG uses knowledge graphs instead of traditional vector databases, allowing deeper insights and relationships within datasets through structured data representation.

This capability allows the InterSystems Iris data platform to manage and query content and related dense vector embeddings, particularly as it enables Retrieval-Augmented Generation (RAG ...