Long-Document JSON Extraction Explained: 4 Boundaries Before You Chunk
This story is from 2026-10-04. It is preserved in the archive; the latest stories are on the live feed.
TL;DR: A long-document extraction timeout is usually an input-selection problem, not a reason to raise the timeout. Count tokens, split the source, retrieve and rerank only passages relevant to the fields, extract per chunk, then merge in application code. Put imports on a batch path. For an edtech…
Read the full story at DEV Community — AI ↗
Timeline · 1 report
- 2026-10-04 16:08 · DEV Community — AI
Long-Document JSON Extraction Explained: 4 Boundaries Before You Chunk