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niranjanagaram

@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
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