@niranjanagaram
Most RAG pipelines fail because the data layer is stale.
I’m currently architecting a Real-Time Agentic Pipeline that triggers on-chain events via Base RPCs.
The Stack:
Python (FastAPI) for the Agent logic
Substreams for low-latency indexing
Vector DB for contextual RAG
Moving from raw event logs to an actionable AI response in < 500ms.
Bridging 10y of Enterprise Data with Web3 speed. If your dApp is lagging, my 48-hour data sprints are open.
🔗 niranjanagaram.com
#dev #base #ai #dataengineering