--- title: "KB 작업 단위 인덱스" source: kb_local_rust_report.md date: 2026-04-27 --- # KB 작업 단위 인덱스 [`kb_local_rust_report.md`](../kb_local_rust_report.md) 의 Phase 로드맵을 아키텍처 수준 작업 단위로 분해. 각 task 문서는 독립적으로 착수/검수 가능한 단위. ## 의존 그래프 ```text P0 ── P1 ── P2 ── P3 ── P4 ── P5 │ ├─ P6 (image) ├─ P7 (pdf) ├─ P8 (audio) └─ P9 (TUI/desktop) ``` P0~P5 는 직렬. P6~P9 는 P5 이후 병렬 가능. ## 작업 단위 | # | 코드 | 제목 | 핵심 산출 crate | 선행 | |---|------|------|----------------|------| | P0 | [phase-0-skeleton.md](phase-0-skeleton.md) | Workspace 뼈대 + 도메인 계약 | kb-core, kb-parse-types, kb-config, kb-app, kb-cli | – | | P1 | [phase-1-markdown-ingestion.md](phase-1-markdown-ingestion.md) | Markdown ingestion 파이프라인 | kb-source-fs, kb-parse-md, kb-normalize, kb-chunk, kb-store-sqlite | P0 | | P2 | [phase-2-lexical-search.md](phase-2-lexical-search.md) | SQLite FTS5 lexical 검색 + citation | kb-search (lexical) | P1 | | P3 | [phase-3-vector-hybrid.md](phase-3-vector-hybrid.md) | Local embedding + LanceDB + hybrid | kb-embed, kb-embed-local, kb-store-vector, kb-search | P2 | | P4 | [phase-4-local-llm-rag.md](phase-4-local-llm-rag.md) | Local LLM + RAG + grounded answer | kb-llm, kb-llm-local, kb-rag | P3 | | P5 | [phase-5-evaluation.md](phase-5-evaluation.md) | Golden query / regression eval | kb-eval | P4 | | P6 | [phase-6-image.md](phase-6-image.md) | 이미지 ingestion (OCR + caption) | kb-parse-image | P5 | | P7 | [phase-7-pdf.md](phase-7-pdf.md) | PDF text + page citation | kb-parse-pdf | P5 | | P8 | [phase-8-audio.md](phase-8-audio.md) | 음성 transcription + timestamp citation | kb-parse-audio | P5 | | P9 | [phase-9-ui.md](phase-9-ui.md) | TUI + desktop app | kb-tui, kb-desktop | P5 | ## Component task decomposition (per phase) 각 phase 의 component-level 분해. AI sub-agent 1세션 = 1 task 가 sweet spot. - P0 — [p0/](p0/) — 1 component - [p0-1 skeleton](p0/p0-1-skeleton.md) - P1 — [p1/](p1/) — 6 components - [p1-1 source-fs](p1/p1-1-source-fs.md) - [p1-2 parse-md frontmatter](p1/p1-2-parse-md-frontmatter.md) - [p1-3 parse-md blocks](p1/p1-3-parse-md-blocks.md) - [p1-4 normalize](p1/p1-4-normalize.md) - [p1-5 chunk](p1/p1-5-chunk.md) - [p1-6 store-sqlite](p1/p1-6-store-sqlite.md) - P2 — [p2/](p2/) — 2 components - [p2-1 fts-schema](p2/p2-1-fts-schema.md) - [p2-2 lexical-retriever](p2/p2-2-lexical-retriever.md) - P3 — [p3/](p3/) — 5 components - [p3-1 embedder-trait](p3/p3-1-embedder-trait.md) - [p3-2 fastembed-adapter](p3/p3-2-fastembed-adapter.md) - [p3-3 lancedb-store](p3/p3-3-lancedb-store.md) - [p3-4 hybrid-fusion](p3/p3-4-hybrid-fusion.md) - [p3-5 app-wiring](p3/p3-5-app-wiring.md) - P4 — [p4/](p4/) — 3 components - [p4-1 llm-trait](p4/p4-1-llm-trait.md) - [p4-2 ollama-adapter](p4/p4-2-ollama-adapter.md) - [p4-3 rag-pipeline](p4/p4-3-rag-pipeline.md) - P5 — [p5/](p5/) — 2 components - [p5-1 golden-fixture-runner](p5/p5-1-golden-fixture-runner.md) - [p5-2 metrics-compare](p5/p5-2-metrics-compare.md) - P6 — [p6/](p6/) — 3 components - [p6-1 image-extractor-exif](p6/p6-1-image-extractor-exif.md) - [p6-2 ocr-adapter](p6/p6-2-ocr-adapter.md) - [p6-3 caption-adapter](p6/p6-3-caption-adapter.md) - P7 — [p7/](p7/) — 2 components - [p7-1 pdf-text-extractor](p7/p7-1-pdf-text-extractor.md) - [p7-2 pdf-page-chunker](p7/p7-2-pdf-page-chunker.md) - P8 — [p8/](p8/) — 2 components - [p8-1 whisper-adapter](p8/p8-1-whisper-adapter.md) - [p8-2 segment-chunker](p8/p8-2-segment-chunker.md) - P9 — [p9/](p9/) — 5 components - [p9-1 tui-library](p9/p9-1-tui-library.md) - [p9-2 tui-search](p9/p9-2-tui-search.md) - [p9-3 tui-ask](p9/p9-3-tui-ask.md) - [p9-4 tui-inspect](p9/p9-4-tui-inspect.md) - [p9-5 desktop-tauri](p9/p9-5-desktop-tauri.md) ## Post-merge 핫픽스 머지 후 발견된 버그들과 그 follow-up PR들은 [HOTFIXES.md](HOTFIXES.md)에 dated 로그로 기록한다. 원래 task spec은 frozen 상태로 두고, post-merge 동작 변경은 HOTFIXES.md를 source of truth로 본다. ## 모든 task 공통 규약 - 의존성 경계 (`Allowed` / `Forbidden`) 위반 금지. report §19 참조. - citation 없는 검색 결과 / RAG 응답 금지. - 원본 파일 파괴 금지. 파생물만 재생성. - 모든 record 에 version (parser/chunker/embedding/index/prompt) 기록. - 각 phase 완료 = `cargo check --workspace && cargo test --workspace` 통과 + 해당 phase 의 완료 조건 CLI 데모 통과.