Chaining multiple LLM calls, vector database lookups, and API tools creates a severe performance bottleneck, dragging response times from seconds to minutes. Every sequential step introduces extra network and token processing overhead that quickly ruins the user experience. To fix this compound...

Source: [HackerNoon](https://hackernoon.com/the-compounding-latency-crisis-of-multi-step-ai-workflows?source=rss)

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