feat/r42-accuracy-and-clear-history #34

Merged
rve merged 2 commits from feat/r42-accuracy-and-clear-history into main 2026-07-13 12:42:13 +00:00
Owner

Why

R42 was omitting knowledge-graph information (notably pension questions):
relevant facts existed in the graph but never reached the model.

Fixes

  • Retrieval — exact-token TF-IDF couldn't match Dutch compounds, so a
    pensioen query scored 0 against pensioenregeling / partnerpensioen
    and never retrieved them. Added a compound-word fallback (shared ≥6-char
    stem or containment, 0.4× weight) alongside exact matching.
  • Context building — deep article content was injected only for
    verbatim-mentioned topics; retrieved topics gave just a 200-char
    description. Now injects ~1000 chars for up to 5 topics (mentions first,
    then top-ranked retrieved); description widened to 320.
  • Prompt — new NAUWKEURIGHEID block (use all relevant facts, call
    lookup_topic before giving up); relaxed the 4-sentence cap for
    detail/list answers.

Clear history

Trash button in the chat header (confirm dialog) wipes
chat:thread:{userId} and reseeds the greeting via clearThread().

Tests

144 passing. Added compound-word retrieval tests + a new rag test for
deep-content injection. Lint + build clean.

## Why R42 was omitting knowledge-graph information (notably pension questions): relevant facts existed in the graph but never reached the model. ## Fixes - **Retrieval** — exact-token TF-IDF couldn't match Dutch compounds, so a `pensioen` query scored 0 against `pensioenregeling` / `partnerpensioen` and never retrieved them. Added a compound-word fallback (shared ≥6-char stem or containment, 0.4× weight) alongside exact matching. - **Context building** — deep article content was injected only for verbatim-mentioned topics; retrieved topics gave just a 200-char description. Now injects ~1000 chars for up to 5 topics (mentions first, then top-ranked retrieved); description widened to 320. - **Prompt** — new NAUWKEURIGHEID block (use all relevant facts, call `lookup_topic` before giving up); relaxed the 4-sentence cap for detail/list answers. ## Clear history Trash button in the chat header (confirm dialog) wipes `chat:thread:{userId}` and reseeds the greeting via `clearThread()`. ## Tests 144 passing. Added compound-word retrieval tests + a new rag test for deep-content injection. Lint + build clean.
rve added 2 commits 2026-07-13 12:42:01 +00:00
R42 was missing knowledge-graph information (e.g. pension questions)
because retrieval and context-building dropped relevant facts:

- retrieval: exact-token TF-IDF could not match Dutch compound words,
  so a "pensioen" query scored 0 against "pensioenregeling" /
  "partnerpensioen" and never retrieved them. Add a compound-word
  fallback (shared >=6-char stem or containment, 0.4x weight) alongside
  exact matching.
- rag: deep article content was only injected for verbatim-mentioned
  topics; retrieved topics contributed just a 200-char description.
  Inject ~1000 chars of content for up to 5 topics (mentions first,
  then top-ranked retrieved) and widen the description snippet to 320.
- prompts: add a NAUWKEURIGHEID block (use all relevant facts, call
  lookup_topic before giving up) and relax the 4-sentence cap for
  detail/list answers so complete facts aren't summarised away.

Also add a clear-history control: a trash button in the chat header
(confirm dialog) wipes chat🧵{userId} and reseeds the greeting
via clearThread() in useChat.

Tests: compound-word matching + rag deep-content injection. Spec updated.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
feat: add guide for calculating and processing pension premiums in proforma payslips
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rve merged commit 39e448e807 into main 2026-07-13 12:42:13 +00:00
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Reference: rve/learning-platform#34