Graph database Neo4j is building an ecosystem for Graph-powered features for Generative AI and beyond with all major cloud platforms
From better together to full native integration, Neo4j is creating an ecosystem around all major cloud platforms to provide graph-powered features for Generative AI and beyond. Here’s how this aligns with cloud platform AI strategies and what’s next. Hint: Databricks and Snowflake. For many organizations today, data management comes down to handing over their data to one of the “Big 5” data vendors: AWS, Microsoft Azure, and Google Cloud Platform, plus Databricks and Snowflake.
Microsoft made GraphRAG quite prominent However, transforming unstructured data into knowledge graphs, providing a long-term memory for LLMs with vector embedding integration and enhancing contextual understanding and explainability with GraphRAG are all things that Neo4j has been working on, and promoting, for a while now. It makes sense to have them shared across the board. Neo4j’s Knowledge Graph and Generative AI reference architecture. This looks remarkably similar across cloud platforms.
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