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Answering a fair question: needing two settings in two repositories to agree before one number changes is not a design anyone chose. It is two codebases each assuming it owned the decision, and the symptom was a caller asking for 30 excerpts and silently receiving 12. rerank_results computes min(reranker_top_k or limit, limit), so RERANKER_TOP_K=0 reads as "however many the caller asked for". The app setting is now the only knob. Verified: Learning asks 30 and receives 30, the assistant asks 8 and receives 8. Zero costs nothing extra — the reranker is billed on documents sent, which is candidate_limit and unchanged; top_n only decides how many come back. A real number there is now what it should always have been: an optional hard ceiling for when someone deliberately wants one, not an invisible default. docs/retrieval-tuning.md covers the per-feature budgets, why the assistant's are so much smaller than Learning's, that My Resources deliberately shares the Learning budget, how to read what actually happened from the MCP logs and the grounding field, and why raising these is not free. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU |
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| .. | ||
| logic | ||
| ai-providers.md | ||
| api-reference.md | ||
| ARCHITECTURE.md | ||
| architecture.md | ||
| authentication.md | ||
| CLINICAL_ASSISTANT.md | ||
| configuration.md | ||
| database.md | ||
| deployment.md | ||
| developer-guide.md | ||
| DEVELOPMENT.md | ||
| embeddings-setup.md | ||
| features-explained.md | ||
| global-prompt-administration.md | ||
| improvements.md | ||
| learning-hub.md | ||
| migrations.md | ||
| mobile-build.md | ||
| MODULE_CONVENTIONS.md | ||
| openid-setup.md | ||
| ops-docs-ped-ai-and-milvus.md | ||
| retrieval-tuning.md | ||
| SCALING.md | ||
| speech.md | ||
| transcription-options.md | ||