2 Commits

Include renames

Author	SHA1	Message	Date
ElebobaandClaude Opus 5.5	fe29ebd629	fix(llm): RAG citation pages, scrub placeholders, disease-aware document choice ... - converter marks a paragraph glued across a page break with ⟦стр. N⟧; the chunker strips the marker and extends the chunk's page range (wrong-page citations 24 -> 3, the rest are scale-form table rows split by a page) - [NAME]/[PHONE] placeholders from privacy.scrub() no longer count as unknown words (a scrubbed question used to fall below the coverage gate) - a question naming one disease boosts its guideline in retrieval and passage choice ("ТМС при депрессии" was answered from the PTSD guideline); "антидепрессант" is not a cue Refs #62 Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-10-04 04:31:59 +03:00
ElebobaandClaude Opus 5.5	6a77831603	feat(llm): RAG knowledge base over clinical guidelines with cited extractive answers ... - docs/source/rag: PDF sources (KR PTSD 2023, KR depression 2024, meds module spec), pdf->txt converter (tables as markdown, page markers, hand-transcribed figures), word-level check against pdftotext; fixes HAM-D/MADRS fake headers and split rows - config/rag: corpus txt + sources.yaml (documents, audiences, retrieval params, synonyms) - app/llm/rag: Snowball stemmer, section-aware chunker with page citations, BM25 + synonym expansion + densest-passage reranking, extractive answer() with coverage gate, patient dose/prescribing filter, optional LLM rephrasing rejected when it adds content; CLI python -m app.llm.rag - tests: gold retrieval set (hit@3 >= 15/18), off-topic, safety, faithfulness - ADR-011 Refs #60 Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-10-04 04:11:06 +03:00