Implementing Node.js Support Triage — Summarize PDF Pages with Embeddings
Short answer: for B2B support triage, split PDF retrieval from answer generation, rerank a small evidence set, and let the final summary assign a queue only when the cited pages support that decision. Design Triage quality Request latency Operational load Use it when Embedding search, then summary Baseline Lowest of these three Low The corpus is narrow and ticket language closely matches the…
To optimize B2B support triage using Node.js semantic search, implement a three-step process: retrieve PDF pages, rerank evidence, and generate a structured summary. Maintain each step's distinct responsibilities by defining separate ports for vector search, reranking, and structured generation. Retain document IDs, page numbers, and other metadata throughout the process to preserve citation integrity. Implement quality gates based on labeled support tickets to ensure accurate routing decisions.
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