The first two years of the GenAI revolution are bending the OSS way: Open Source models have reached state of the art, and most of the ecosystem around AI is open-source. The key to AI adoption is properly organizing and using business knowledge. In industry, LLMs give way to Small Specialized Models (SSMs), utilized by Domain Expert Agents (DXAs). Their work should be structured according to the domain requirements, requiring structured output. Organizing and using domain knowledge for AI has long been a domain of Knowledge Graphs (KG). At Neo4j, we are in a moment where our KG leadership powers the rise of GraphRAG, a better context traversal that we lead alongside Microsoft, Amazon, Google, and other GenAI partners. We also integrate with many OSS AI startups to build a better AI stack around GraphRAG. Neo4j has joined LFAI to bridge the enterprise AI adoption with startup innovation, centered around structured knowledge. In this talk we describe OAKS, a set of projects, communities, and technologies that comprise the Open Agentic AI Knowledge Stack. We show where the most value will be created and how the OSS AI ecosystems come together to build and deliver it.
OAKS consists of structured input, knowledge transformation, and structured output. We show the Agentic AI architectures emerging around AI memory, graph-based agentic workflows, and frameworks including scalable message passing, knowledge encapsulation, and colocated knowledge and computation for web-scale routing. We invite the community to join us!
