Our Chief Engineering Officer explains why EDA is the perfect fit for the asynchronous workloads of generative AI.
An event mesh is the ideal way to link legacy enterprise systems with AI components like language models and agents. There are two applications of the event mesh pattern that meet different AI needs:
- A context mesh enables the entire enterprises context to be leveraged into better AI-enabled applications.
- A cognitive mesh builds upon the foundation of a context event mesh by enabling the orchestration of autonomous AI agents.
Why Event-Enable Your AI Infrastructure?
Fuel GenAI with Real-Time Context
By streaming data from applications to vector databases, a context mesh gives your language models up-to-the-moment context via retrieval-augmented generation (RAG) for better outputs and fewer hallucinations.
Smart topics let you easily leverage event streams for new use cases, without sacrificing governance thanks to event and schema versioning, and complete control over data flows, access control and security.
Orchestrate Autonomous AI Agents
A cognitive mesh enables real-time interactions between user gateways, agents and LLMs so they can efficiently collaborate, adapt to new inputs, and make intelligent decisions.
Solace helps you establish an open framework for the integration and discovery of components and the dynamic data routing of data between them.
Safe, Straightforward Implementation and Scaling
A well-built event mesh lets your team focus their AI energy on innovation, not integration.
Solace’s platform makes it easy to get data flowing between applications and AI components across environments with the observability and governance you need to confidently push use cases from PoC to production.