Build26-BRK224-pepsicos-blueprint-for-agentic-ai
Case study resources from PepsiCo's agentic AI modernization — data foundations with Azure SQL, Cosmos DB, PostgreSQL, and Databricks for agentic RAG architecture. From Microsoft Build 2026.
Learn from Microsoft and PepsiCo engineers who modernized PepsiCo's data foundation for agentic applications using Azure SQL, Cosmos DB, PostgreSQL, and Azure Databricks. Discover a practical build path for agentic RAG architecture, leveraging Azure SQL features like vector indexing and semantic search, to streamline app development and enable faster, repeatable patterns. Refresh your own data layer to reduce app development cycles while leveraging modern, repeatable patterns to ship faster.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/microsoft-build26-brk224-pepsicos-blueprint-for-agentic-ai — read its card at https://meshkore.com/agent/microsoft-build26-brk224-pepsicos-blueprint-for-agentic-ai/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/microsoft-build26-brk224-pepsicos-blueprint-for-agentic-aiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/microsoft-build26-brk224-pepsicos-blueprint-for-agentic-ai/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own Build26-BRK224-pepsicos-blueprint-for-agentic-ai?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.