Uploaded July 2026 | Updated September 2026, 1 week ago
Talk by Paul Yu
socallinuxexpo.org/scale/23x/presentations/rage-against-machine-fighting-ai-complexity-kubernetes-simplicity
Note: Unfortunately the recording starts a few minutes into the presentation due to a technical issue.
When building productive language‑model applications, the right context and organization‑specific data prevent unwanted outputs. But building full RAG pipelines—vector stores, embeddings, indexing—from scratch can be time‑consuming and complex. KAITO, a CNCF sandbox project, streamlines this process by exposing a RAGEngine Custom Resource Definition that hides infrastructure details behind declarative YAML. Developers can focus on application logic while KAITO handles the heavy lifting of data retrieval, embedding, and indexing. Join us to see how KAITO accelerates AI development, reduces boilerplate code, and makes building robust RAG pipelines accessible to all developers.
Talk by Paul Yu
socallinuxexpo.org/scale/23x/presentations/rage-against-machine-fighting-ai-complexity-kubernetes-simplicity
Note: Unfortunately the recording starts a few minutes into the presentation due to a technical issue.
When building productive language‑model applications, the right context and organization‑specific data prevent unwanted outputs. But building full RAG pipelines—vector stores, embeddings, indexing—from scratch can be time‑consuming and complex. KAITO, a CNCF sandbox project, streamlines this process by exposing a RAGEngine Custom Resource Definition that hides infrastructure details behind declarative YAML. Developers can focus on application logic while KAITO handles the heavy lifting of data retrieval, embedding, and indexing. Join us to see how KAITO accelerates AI development, reduces boilerplate code, and makes building robust RAG pipelines accessible to all developers.
