Neo4j native integrations with Microsoft
Fabric and Microsoft Azure OpenAI Service unify data management,
improve accuracy, and reduce hallucination in AI
applications
SAN MATEO, Calif., March 26, 2024 /PRNewswire/
-- Neo4j®, a Graph Database and Analytics leader,
announced a collaboration with Microsoft to deliver a unified data
offering that addresses customers' critical data needs for
Generative AI (GenAI). Specifically, the collaboration will see
Neo4j's powerful graph capabilities natively integrated into
Microsoft Fabric and Microsoft Azure OpenAI Service to seamlessly
combine structured and unstructured data, and enable customers to
uncover hidden patterns and relationships within their data for
better insights and decision-making, all as part of a comprehensive
solution.
"By 2025, graph technologies will be used in 80% of data and
analytics innovations — up from 10% in 2021 — facilitating rapid
decision-making across the enterprise," predicts
Gartner® in its Emerging Tech Impact Radar: Data
and Analytics November 20, 2023
report. 1Gartner also notes, "The ability to discover
and document data use cases and help build knowledge graphs out of
data uses is becoming a vital capability. It is the first step to
resolving fragmented data management issues by enabling a
GenAI-augmented data fabric," in its January
23, 2024 report titled Innovation Insight: How Generative AI
is Transforming Data Management Solutions.
Azure OpenAI Service enables businesses to use advanced AI
models and tools that unlock the full potential of their data.
Microsoft Fabric is an AI-powered analytics platform that enables
everything from data movement to data science, real-time analytics,
and business intelligence. Customers benefit from the integration
of Neo4j's graph database within Azure OpenAI and Microsoft Fabric
in the following ways:
- 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
visualization and query tools like Bloom or use Neo4j connector
with Power BI for business intelligence (BI).
- 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.
- 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.
- 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.
- 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, analyze Graph data, run Graph Data Science Algorithms using
Neo4j Bloom, and write back results into OneLake for a seamless
end-to-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 optimized on Azure.
For more information about Neo4j's collaboration with Microsoft,
read our blog post or visit the Neo4j booth #307 at Microsoft
FabCon, March 26-28.
Supporting quotes
Srinivas Suravarapu, CEO,
ScribeStar
"ScribeStar is on a mission to make
capital markets cheaper and easier to access by providing
technology that helps companies list, report, and fulfill ongoing
obligations. Today's announcement underscores how our
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."
Sudhir Hasbe, Chief Product Officer,
Neo4j
"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
"Microsoft is committed to empowering
organizations with the tools and technologies they need to thrive
in today's data-driven world," said Arun Ulag, CVP, Azure Data,
Microsoft. "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."
1GARTNER is a registered trademark and
service mark of Gartner, Inc. and/or its affiliates in the U.S. and
internationally and is used herein with permission. All rights
reserved.
About Microsoft
Microsoft (Nasdaq "MSFT" @microsoft) enables digital
transformation for the era of an intelligent cloud and an
intelligent edge. Its mission is to empower every person and every
organization on the planet to achieve more.
About Neo4j
Neo4j, the Graph Database & Analytics leader, helps
organizations find hidden relationships and patterns across
billions of data connections deeply, easily and quickly. Customers
leverage the structure of their connected data to reveal new ways
of solving their most pressing business problems, from fraud
detection, customer 360, knowledge graphs, supply chain,
personalization, IoT, network management, and more – even as their
data grows. Neo4j's full graph stack delivers powerful native graph
storage with native vector search capability, data science,
advanced analytics, and visualization, with enterprise-grade
security controls, scalable architecture and ACID compliance.
Neo4j's dynamic open-source community brings together over 250,000
developers, data scientists, and architects across hundreds of
Fortune 500 companies, government agencies and NGOs. Visit
neo4j.com.
Contact:
pr@neo4j.com
neo4j.com/pr
©2024 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j
Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j®
AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All
other marks are owned by their respective companies.
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