How Clunky Legacy Agent Search Pipelines Are
darian314 · x · 2026-07-16
This breaks down the old approach for the reader: building a financial analysis agent requiring real-time data used to involve stitching together a chain of tools—the LLM sends a query, then goes through a search API, scrapes web pages, cleans HTML, chunks text, and reranks before finally feeding it to the agent. This pipeline is clunky, expensive, and slow.
Related event: Linkup Pushes Web Search Built for AI Agents(8 posts)→
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