Local Embeddings and Rerankers vs Hosted LLM for Catalog Matching?
kshitizsriv · reddit · 2026-10-07
A developer building a feature that matches free-form requests (multiple constraints, follow-up refinements, match explanations) to a structured catalog asks whether a small locally hosted embedding model plus reranker could match the quality of their hosted-LLM ranking prototype at lower cost. They're seeking real-world experience on where local retrieval falls short, whether hybrid approaches worked better, and actual latency/cost figures at 10k–100k requests per month.
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