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1 . Transform unstructured data into knowledge graph : Developers can use OpenAI Service to process unstructured data , structure it and load it into a knowledge graph . Once in a knowledge graph , users extract insights leveraging Neo4j data visualisation and query tools like Bloom or use Neo4j connector with Power BI for business intelligence ( BI ).
2 . Enhance contextual understanding and explainability with GraphRAG : With Neo4j ’ s GenAI functions , Azure OpenAI Service can be used for fully integrated GraphRAG applications , whereby LLM queries can be used against enterprise data in knowledge graphs . GraphRAG is an enhanced form of Retrieval Augmentation Generation ( RAG ) whose results demonstrate intelligence or mastery that outperforms other approaches previously applied to private datasets . Enterprises can also use Gen AI orchestration platforms like LangChain and LlamaIndex to build intelligent GenAI applications .
3 . Long-term memory for LLMs with vector embedding integration : Neo4j provides long-term memory for large language models by supporting native vector embeddings . Neo4j has inbuilt support for vector storage and search capability for intelligent GenAI applications . Developers can now natively use Azure OpenAI embedding APIs to create embeddings and store them in the Neo4j Database .
4 . Graph-powered insights as part of Microsoft Fabric unified data platform : Microsoft Fabric customers can now use Neo4j Graph Database and Analytics capabilities to discover hidden patterns and relationships deeply , easily and quickly . Developers can implement Azure Data Factory to ingest data from OneLake into Neo4j , extract data from Synapse Data Warehouse using the Neo4j data warehouse connector , run Graph Data Science algorithms from Synapse Data Science Notebooks and leverage Power BI to build interactive dashboards on Neo4j Knowledge Graphs .
5 . Graph Analytics as native Fabric workload : Neo4j and Microsoft Fabric teams are working together to deliver Neo4j as a native workload for Graph Analytics on Microsoft Fabric platform . This will enable users to access graph analytics workload directly from the Microsoft Fabric console , create Graph models from OneLake data , analyse Graph data , run Graph Data Science Algorithms using Neo4j Bloom and write back results into OneLake for a seamless endto-end integration .
Neo4j ’ s Azure OpenAI Service integration is generally available now . The integration of Neo4j ' s graph database into Microsoft Fabric will be generally available later this year .
Neo4j also announced the general availability of Neo4j ’ s fully managed graph database offering AuraDB on Azure Marketplace , giving developers a frictionless , fast start experience on generative AI . Azure Marketplace offers thousands of industry-leading software and services that are certified and optimised on Azure .
Sudhir Hasbe , Chief Product Officer , Neo4j , said : " We ’ re excited to combine Neo4j ’ s unparalleled graph capabilities alongside Microsoft ’ s seamless scalability , advanced AI capabilities of Azure OpenAI and AI-Powered Analytics Platform with Microsoft Fabric . Enterprises can now unlock deeper insights , navigate complex data relationships and drive better decision-making and innovation in ways that were not
possible before . Together , we ’ re helping customers redefine what ’ s possible for their data in an increasingly
interconnected GenAI world .”
Arun Ulag , CVP , Azure Data , Microsoft , said : " Microsoft is committed to empowering organisations with the tools and technologies they need to thrive in today ' s data-driven world .
" Our collaboration with Neo4j represents a significant step forward in delivering innovative data solutions that will enable businesses to unlock new opportunities and drive Digital Transformation in the GenAI era ."
Srinivas Suravarapu , CEO , ScribeStar , said the collaboration underscores how partners Microsoft and Neo4j enable SaaS businesses like ScribeStar to provide powerful solutions to discover complex relationships within our data .
“ The ability to build intelligence with speed and precision using graphs is integral to developing the next generation of intelligent solutions in capital markets . Graphs are everywhere and so is the cloud – a future of analytics powered by Microsoft Fabric and Neo4j is inevitable and this partnership makes absolute sense for ISVs like us .” p
Sudhir Hasbe , Chief Product Officer , Neo4j
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