Customer Support Evidence: Summarize Large Documents with an LLM API, Batch and Streaming
This story is from 2026-10-24. It is preserved in the archive; the latest stories are on the live feed.
TL;DR: For large customer-support documents, I split and score evidence in a queued batch first, then stream only the compact result the reviewer needs. Streaming the entire document through one request feels responsive, but it couples extraction, retry behavior, and UI state. The useful decision i…
Read the full story at DEV Community — AI ↗
Timeline · 1 report
- 2026-10-24 16:37 · DEV Community — AI
Customer Support Evidence: Summarize Large Documents with an LLM API, Batch and Streaming