This hub covers building integrations that call AI and LLM services — connecting AI to enterprise systems, RAG pipelines and architecture, and the governance and observability layer production AI applications need.
A first-principles guide to wiring AI and LLM-backed services into existing enterprise systems.
Using AI to automate multi-step business processes, and where a human still needs to stay in the loop.
Calling LLM-backed services from an application or integration flow without blocking the pipeline.
The moving parts of a RAG pipeline — retrieval, ranking, and generation — and how to wire them together.
A reference architecture for production RAG, from ingestion to the generation layer.
Policy, access control, and audit requirements for AI applications running in production.
The metrics and traces that matter once an AI-backed system is live — latency, cost, and drift.
When a managed RAG pipeline beats assembling your own from a vector store and an LLM API.
Wiring a vector store into an existing data and integration pipeline.
A roundup of the tools teams are using to connect AI services into their existing stack.
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WSO2 Integration Platform is a comprehensive, open-source platform for connecting applications, services, data, and AI agents at enterprise scale.
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