LF AI & Data is excited to welcome Neo4j, the leader in graph databases and analytics, to advance open-source AI built around knowledge graphs.
Neo4j: A Leader in Graph Technology
Gartner recognized Neo4j as a Visionary in its 2024 Magic Quadrant for Cloud Database Management Systems, and Forrester named it a Strong Performer in its 2024 Vector Database Wave. As the category-defining leader in graph databases, Fortune 500 enterprises and innovative startups trust Neo4j.
The adoption of Neo4j has surged as organizations increasingly view graph databases as critical infrastructure for AI systems that manage vast amounts of interconnected data. Neo4j provides an optimized database solution for these cutting-edge AI applications.
The upcoming release of GQL (Graph Query Language) as an international standard by ISO and IEC in 2024 marks a significant milestone for graph technology. GQL will become the first certified database query language since SQL’s standardization in 1987, signaling the maturity and broad adoption of graph databases. Neo4j has played a critical role in shaping GQL, contributing over five years of expertise to its development.
Bridging the Gap in AI with Knowledge Graphs
Generative AI and large language models (LLMs) have advanced rapidly, but a gap persists between their benchmark capabilities and real-world enterprise adoption. A key challenge lies in integrating the vast knowledge enterprises generate—spanning products, customers, and processes—into AI systems. Properly structuring this knowledge is crucial for LLMs to provide actionable, context-aware insights.
Neo4j has addressed this challenge by pioneering the GraphRAG approach in collaboration with open-source AI partners. This approach organizes and optimizes business knowledge for AI applications, empowering enterprises to enhance decision-making and collaborate effectively with agentic AI systems. (Explore GraphRAG and partners such as LangChain, LlamaIndex, and Zilliz.)
“Neo4J joining LF AI & Data adds another layer to the depth of our growing community. Bringing together leaders in AI to work together openly, bridging gaps, collaborating together and building community is what LF AI & Data is all about,” said Todd Moore, SVP Community Operations at the Linux Foundation. “Neo4J has a history of contribution and leadership that every developer would welcome”.
Neo4j’s Open-Source Contributions
Founded by developers, Neo4j has a long history of collaboration with open-source communities and the Linux Foundation. This includes active participation in initiatives like the GraphQL Foundation and the Generative AI Commons.
Building on this legacy, Neo4j will work alongside open-source AI partners to develop the OSS AI Knowledge Stack, implementing GraphRAG and related technologies like structured outputs, reasoning engines, and advanced knowledge representation. Neo4j also plays a key role in community engagement through meetups, workshops, free Graph Academy and DeepLearning.ai courses, and conference partnerships.
By joining LF AI & Data, Neo4j brings its leadership and ecosystem expertise to drive the development of better, safer, and more responsible AI technologies. Collaborating with open-source communities, Neo4j and LF AI & Data will accelerate the adoption of impactful AI solutions, empowering enterprises worldwide.
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