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llm.themes stamps the P35 vocabulary onto indexed chunks with one normalised matrix product per batch against the theme cards (no model calls): the top themes clearing --min-score land in cmetadata as themes / theme_scores, with themes_vocab recording the vocabulary version so a vocabulary bump re-stamps. Default scope is the CMS manual sections (corpus, doctype manual); any collection/doctype/key can be stamped. /search takes theme=<slug> (a Python-side match over the comma-joined slugs, like year) and every source carries themes. Also: the thread-local Store test compared against the executor's worker cap (8) although the executor spawns threads lazily, so under load it failed with 7; it now compares against the threads that ran.
2.9 KiB
2.9 KiB
title, sidebar_position
| title | sidebar_position |
|---|---|
| stack prisma extract | 95 |
stack prisma extract
Usage: stack prisma extract [OPTIONS] NAME
Stage 3+ — structured data extraction on included studies.
╭─ Arguments ──────────────────────────────────────────────────────────────────╮
│ * name TEXT Project slug. [required] │
╰──────────────────────────────────────────────────────────────────────────────╯
╭─ Options ────────────────────────────────────────────────────────────────────╮
│ --limit -n INTEGER [default: 0] │
│ --db PATH [default: │
│ data/zotero/data/zotero.sqlite] │
│ --storage PATH [default: data/zotero/data/storage] │
│ --hold --no-hold [default: hold] │
│ --hosts TEXT Comma-separated Ollama base URLs — │
│ fleet mode (#655): parallel │
│ extraction via native /api/chat │
│ with per-request num_ctx; bypasses │
│ PRISMA_LLM_* env config. │
│ --fleet-model TEXT Model name on every fleet host. │
│ [default: qwen2.5:14b] │
│ --num-ctx INTEGER Context window per fleet request. │
│ [default: 8192] │
│ --per-host INTEGER Max in-flight requests per fleet │
│ host. │
│ [default: 1] │
│ --help Show this message and exit. │
╰──────────────────────────────────────────────────────────────────────────────╯