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>
- Introduced "Pension Scheme & Benefits" detailing secondary employment benefits and pension specifics.
- Created "Roles & Accountabilities" outlining the Holacracy role structure and responsibilities within Respellion.
- Added "Security" section covering GDPR compliance and workplace safety protocols.
- Established "Spending and Contracting" policy detailing expense categories and submission processes.
- Documented "Who We Are" to define Respellion's identity, services, and operational model under Holacracy and ISO 9001.
- Introduced gamification service spec detailing responsibilities, API surface, XP calculation, levels, streaks, badges, milestone cards, and heatmap data.
- Added generation service spec outlining the process for generating micro learning content, including API endpoints, AI call configuration, prompt strategies, and error handling.
- Created R42 chat service spec covering chatbot interactions, retrieval pipeline, prompt construction, response generation, and stateless design principles.
