How to Build a PDF-Based Support Triage System Using Embeddings and Reranking
A technical guide outlines a three-stage architecture for B2B support triage that splits PDF retrieval, reranking, and answer generation into distinct steps. The approach recommends embedding search to find semantically related manual pages, followed by a reranking pass to improve evidence quality before a summary is generated. The final output must cite specific page identifiers and assign a support queue only when the retrieved pages justify that decision, returning a needs-review flag otherwise. Each stage should carry independent timeouts so that failures can be isolated rather than absorbed by a single end-to-end limit. The guide advises shipping the rerank-then-summarize path as the practical default, reserving pure embedding search as a low-latency fallback and deterministic rules only for stable, high-consequence queues.
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