type: message

role: user

type: text

text: 你好啊


role: assistant

type: thinking

thinking: 用户打招呼，我应该友好地回应。根据项目上下文，我是"萌小芽"，树萌芽的智能AI助手。我应该用简洁、自然、友好的中文交流，并适当使用我专属的emoji。

text:
你好啊！(｡･ω･｡) 我是萌小芽，树萌芽的智能AI助手。

有什么我可以帮你的吗？

api: openai-completions

provider: opencode-go-openai

stopReason: stop


text: 你玩原神吗


thinking: 用户问我是否玩原神。我是AI助手，没有实际玩游戏的能力，但可以以轻松友好的方式回答。应该保持简洁友好的风格。可以说明我是AI，不能玩，但可以聊相关话题。现在需要回答。

text:
我作为AI助手，没有实际玩游戏的能力哦～ (｀・ω・´)

不过如果你在玩原神，我很乐意和你聊聊游戏相关的内容，比如角色培养、任务攻略或者剧情讨论！你有什么想聊的吗？

provider: xiaomimimo-openai


text: 那你查看一下mengyarag这个项目


thinking: 用户想让我查看mengyarag这个项目。根据项目上下文，我应该先看看当前目录下有没有这个项目，或者在哪里可以找到它。让我先探索一下当前目录。

bash

type: toolCall

command: ls -la

stopReason: toolUse


role: toolResult

toolName: bash

text:
总计 500
drwxr-xr-x  11 root root   4096  6月20日 12:32 .
drwxr-xr-x   5 www  www    4096  6月15日 02:03 ..
-rw-r--r--   1 root root   9179  5月22日 20:05 AGENTS.md
-rw-r--r--   1 root root    788  5月22日 20:05 biome.json
-rw-r--r--   1 root root  10827  6月20日 12:32 bmi-calculator.html
-rw-r--r--   1 root root 151289  5月 6日 20:54 bun.lock
drwxr-xr-x   2 root root   4096  5月 8日 17:47 .claude
drwxr-xr-x   8 root root   4096  6月15日 17:12 .git
-rw-r--r--   1 root root    382  5月 6日 20:53 .gitattributes
drwxr-xr-x   4 root root   4096  5月22日 20:05 .github
-rw-r--r--   1 root root   1263  6月15日 17:08 .gitignore
drwxr-xr-x   3 root root   4096  5月22日 20:05 .husky
-rw-r--r--   1 root root   1069  5月 6日 20:53 LICENSE
drwxr-xr-x   3 root root   4096  6月 6日 10:23 .local
drwxr-xr-x 247 root root  20480  6月 1日 12:27 node_modules
-rw-r--r--   1 root root     34  5月22日 20:05 .npmrc
-rw-r--r--   1 root root   2663  6月 1日 12:27 package.json
-rw-r--r--   1 root root 195306  6月15日 17:12 package-lock.json
drwxr-xr-x   7 root root   4096  5月 6日 20:53 packages
drwxr-xr-x   3 root root   4096  6月10日 15:12 .pi
-rw-r--r--   1 root root   1896  6月10日 21:49 pi-built.bat
-rwxr-xr-x   1 root root   1585  5月30日 16:26 pi-built.sh
-rw-r--r--   1 root root    352  5月22日 20:05 pi-test.bat
-rw-r--r--   1 root root   1741  5月22日 20:05 pi-test.ps1
-rwxr-xr-x   1 root root   1680  5月22日 20:05 pi-test.sh
-rw-r--r--   1 root root    856  6月16日 11:07 progress.md
-rw-r--r--   1 root root   5315  6月10日 16:56 README.md
drwxr-xr-x   2 root root   4096  6月10日 15:12 scripts
-rwxr-xr-x   1 root root    410  6月15日 10:06 sproutclaw
-rw-r--r--   1 root root    838  6月15日 17:08 sproutclaw.bat
-rwxr-xr-x   1 root root   1830  5月22日 20:05 test.sh
-rw-r--r--   1 root root    625  5月22日 20:05 tsconfig.base.json
-rw-r--r--   1 root root   1217  5月22日 20:05 tsconfig.json


thinking: 这是sproutclaw项目的根目录。我需要找mengyarag项目。根据项目上下文，这可能是在/shumengya/project目录下的某个项目。让我检查一下。

command: ls -la /shumengya/project/


text:
总计 64
drwxr-xr-x 15 root root 4096  6月15日 10:37 .
drwxr-xr-x  9 root root 4096  6月10日 15:56 ..
drwxr-xr-x  5 www  www  4096  6月15日 02:03 agent
drwxr-xr-x 14 root root 4096  4月24日 16:57 bash
drwxr-xr-x 10 root root 4096  5月18日 11:18 cloudflare
drwxr-xr-x  5 root root 4096  6月15日 17:02 frontend
drwxr-xr-x 15 root root 4096  4月18日 14:17 frontend-backend
drwxr-xr-x  9 root root 4096  6月 8日 10:50 github
drwxr-xr-x  3 root root 4096  5月10日 22:18 java
drwxr-xr-x  4 root root 4096  3月15日 16:39 mcp
drwxr-xr-x  2 root root 4096  5月30日 15:17 prompt
drwxr-xr-x  6 root root 4096  4月11日 21:30 python
-rw-r--r--  1 root root 1791  4月12日 18:34 README.md
drwx------  4 root root 4096  6月15日 11:14 skill-hub
drwxr-xr-x  5 root root 4096  6月15日 16:37 skills
drwxr-xr-x  3 root root 4096  4月17日 09:08 test


thinking: 没有看到mengyarag项目。让我搜索一下是否在其他地方。

command: find /shumengya -name "*mengyarag*" -type d 2>/dev/null


text: (no output)


thinking: 没有找到mengyarag目录。让我用更宽泛的搜索。

command: find /shumengya -name "*mengya*" -type d 2>/dev/null | head -20


text:
/shumengya
/shumengya/bin/mengyamonitor
/shumengya/cron/bigmengya-docker-container-restart.disabled
/shumengya/cron/smallmengya-gitea-repo-sync
/shumengya/cron/lib/shumengya_cron
/shumengya/cron/[smallmengya](quark-check-in)[disabled]
/shumengya/cron/bigmengya-docker-image-update.disabled
/shumengya/cron/smallmengya-ai-cli-update.disabled
/shumengya/cron/smallmengya-ai-memory-export.disabled
/shumengya/project/python/mengya-mail-api
/shumengya/project/python/mengya-mail-api/src/mengya_mail_api
/shumengya/project/python/mengya-mail-api/src/mengya_mail_api.egg-info
/shumengya/project/python/mengya-search-api
/shumengya/project/python/mengya-search-api/src/mengya_search_api
/shumengya/project/python/mengya-search-api/src/mengya_search_api.egg-info
/shumengya/project/bash/mengyamonitor
/shumengya/project/mcp/mengya-mail-mcp
/shumengya/project/mcp/mengya-mail-mcp/src/mengya_mail_mcp
/shumengya/project/frontend-backend/mengyamonitor
/shumengya/project/frontend-backend/mengyamonitor/mengyamonitor-frontend


thinking: 没有看到mengyarag项目。可能用户指的是其他项目，或者项目名称有误。让我在GitHub目录下看看。

command: ls -la /shumengya/project/github/


text:
总计 288
drwxr-xr-x  9 root root   4096  6月 8日 10:50 .
drwxr-xr-x 15 root root   4096  6月15日 10:37 ..
drwxr-xr-x  7 root root   4096  6月 6日 00:10 Clash.Mihomo
drwxr-xr-x 15 root root   4096  6月 7日 17:37 code-server
drwxr-xr-x  7 root root   4096  6月 8日 10:50 code-server-release
drwxr-xr-x 24 root root   4096  6月16日 20:03 gitea
drwxr-xr-x 12 root root   4096  6月 5日 20:51 go
drwxr-xr-x 12 root root   4096  6月 1日 14:44 memos
drwxr-xr-x  4 root root   4096  6月 8日 10:48 node_modules
-rw-r--r--  1 root root     58  6月 8日 10:48 package.json
-rw-r--r--  1 root root 252429  6月 8日 10:48 package-lock.json


thinking: 也没有看到mengyarag。可能用户指的是其他项目，或者项目名称拼写有误。让我检查一下用户提到的"mengyarag"是否可能是其他项目的变体。也许是在Python项目中。

command: ls -la /shumengya/project/python/


text:
总计 24
drwxr-xr-x  6 root root 4096  4月11日 21:30 .
drwxr-xr-x 15 root root 4096  6月15日 10:37 ..
drwxr-xr-x  3 root root 4096  4月16日 09:22 lark-notice-api
drwxr-xr-x  4 root root 4096  4月16日 09:22 mengya-mail-api
drwxr-xr-x  5 root root 4096  4月16日 09:22 mengya-search-api
drwxr-xr-x  5 root root 4096  4月16日 09:16 QuickGit


thinking: 没有看到mengyarag项目。可能用户指的是其他项目，或者项目名称拼写有误。让我在skills目录下看看。

command: ls -la /shumengya/project/skills/


text:
总计 24
drwxr-xr-x  5 root root 4096  6月15日 16:37 .
drwxr-xr-x 15 root root 4096  6月15日 10:37 ..
drwxr-xr-x  2 root root 4096  6月15日 16:37 frontend-design
-rw-r--r--  1 root root 1313  5月12日 14:54 README.md
drw-------  2 root root 4096  5月30日 15:13 .Recycle_bin
drwxr-xr-x  7 root root 4096  6月 2日 15:00 .system


thinking: 也没有看到mengyarag项目。可能用户指的是其他项目，或者项目名称拼写有误。让我用更广泛的搜索，看看是否在其他地方。

command: find /shumengya -name "*rag*" -type d 2>/dev/null


text:
/shumengya/project/github/go/src/cmd/compile/internal/coverage
/shumengya/project/github/go/src/runtime/coverage
/shumengya/project/github/go/src/internal/coverage
/shumengya/project/github/code-server/lib/vscode/src/vs/platform/storage
/shumengya/project/github/code-server/lib/vscode/src/vs/workbench/services/storage
/shumengya/project/github/code-server/lib/vscode/src/vs/base/parts/storage
/shumengya/project/github/code-server/lib/vscode/src/vs/editor/test/node/diffing/fixtures/ts-fragmented-eager-diffing3
/shumengya/project/github/code-server/lib/vscode/src/vs/editor/test/node/diffing/fixtures/ts-fragmented-eager-diffing
/shumengya/project/github/code-server/lib/vscode/src/vs/editor/test/node/diffing/fixtures/ts-unfragmented-diffing
/shumengya/project/github/code-server/lib/vscode/src/vs/editor/test/node/diffing/fixtures/penalize-fragmentation
/shumengya/project/github/code-server/lib/vscode/src/vs/editor/test/node/diffing/fixtures/ts-fragmented-eager-diffing2
/shumengya/project/github/code-server/lib/vscode/node_modules/snapdragon-util
/shumengya/project/github/code-server/lib/vscode/node_modules/@bcoe/v8-coverage
/shumengya/project/github/code-server/lib/vscode/node_modules/queue/coverage
/shumengya/project/github/code-server/lib/vscode/node_modules/fragment-cache
/shumengya/project/github/code-server/lib/vscode/node_modules/snapdragon
/shumengya/project/github/code-server/lib/vscode/node_modules/@azure/storage-common
/shumengya/project/github/code-server/lib/vscode/node_modules/@azure/storage-blob
/shumengya/project/github/code-server/lib/vscode/node_modules/gulp-azure-storage
/shumengya/project/github/code-server/lib/vscode/node_modules/hono/dist/types/middleware/context-storage
/shumengya/project/github/code-server/lib/vscode/node_modules/hono/dist/cjs/middleware/context-storage
/shumengya/project/github/code-server/lib/vscode/node_modules/hono/dist/middleware/context-storage
/shumengya/project/github/code-server/lib/vscode/node_modules/istanbul-lib-coverage
/shumengya/project/github/code-server/lib/vscode/node_modules/snapdragon-node
/shumengya/project/github/code-server/lib/vscode/node_modules/@types/istanbul-lib-coverage
/shumengya/project/github/gitea/modules/storage
/shumengya/project/github/gitea/node_modules/.pnpm/@types+d3-drag@3.0.7
/shumengya/project/github/gitea/node_modules/.pnpm/@types+d3-drag@3.0.7/node_modules/@types/d3-drag
/shumengya/project/github/gitea/node_modules/.pnpm/@types+istanbul-lib-coverage@2.0.6
/shumengya/project/github/gitea/node_modules/.pnpm/@types+istanbul-lib-coverage@2.0.6/node_modules/@types/istanbul-lib-coverage
/shumengya/project/github/gitea/node_modules/.pnpm/happy-dom@20.9.0/node_modules/happy-dom/src/nodes/html-paragraph-element
/shumengya/project/github/gitea/node_modules/.pnpm/happy-dom@20.9.0/node_modules/happy-dom/src/nodes/document-fragment
/shumengya/project/github/gitea/node_modules/.pnpm/happy-dom@20.9.0/node_modules/happy-dom/src/storage
/shumengya/project/github/gitea/node_modules/.pnpm/happy-dom@20.9.0/node_modules/happy-dom/lib/nodes/html-paragraph-element
/shumengya/project/github/gitea/node_modules/.pnpm/happy-dom@20.9.0/node_modules/happy-dom/lib/nodes/document-fragment
/shumengya/project/github/gitea/node_modules/.pnpm/happy-dom@20.9.0/node_modules/happy-dom/lib/storage
/shumengya/project/github/gitea/node_modules/.pnpm/d3-drag@3.0.0
/shumengya/project/github/gitea/node_modules/.pnpm/d3-drag@3.0.0/node_modules/d3-drag
/shumengya/project/github/gitea/node_modules/.pnpm/jsdom@20.0.3/node_modules/jsdom/lib/jsdom/living/webstorage
/shumengya/project/github/gitea/node_modules/.pnpm/solid-js@1.9.12/node_modules/solid-js/web/storage
/shumengya/project/github/memos/internal/storage
/shumengya/project/github/memos/web/node_modules/.pnpm/@types+d3-drag@3.0.7
/shumengya/project/github/memos/web/node_modules/.pnpm/@types+d3-drag@3.0.7/node_modules/@types/d3-drag
/shumengya/project/github/memos/web/node_modules/.pnpm/d3-drag@3.0.0
/shumengya/project/github/memos/web/node_modules/.pnpm/d3-drag@3.0.0/node_modules/d3-drag
/shumengya/project/github/memos/web/node_modules/.pnpm/jsdom@29.1.1/node_modules/jsdom/lib/jsdom/living/webstorage
/shumengya/project/frontend/scalar/packages/draggable
/shumengya/project/frontend/scalar/node_modules/.pnpm/@google-cloud+storage@7.16.0_encoding@0.1.13
/shumengya/project/frontend/scalar/node_modules/.pnpm/@google-cloud+storage@7.16.0_encoding@0.1.13/node_modules/@google-cloud/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/istanbul-lib-coverage@3.2.2
/shumengya/project/frontend/scalar/node_modules/.pnpm/istanbul-lib-coverage@3.2.2/node_modules/istanbul-lib-coverage
/shumengya/project/frontend/scalar/node_modules/.pnpm/charset@1.0.1/node_modules/charset/coverage
/shumengya/project/frontend/scalar/node_modules/.pnpm/monaco-editor@0.54.0/node_modules/monaco-editor/esm/vs/platform/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/monaco-editor@0.54.0/node_modules/monaco-editor/esm/vs/base/parts/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/functions/dist/esm/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/functions/dist/esm/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/functions/dist/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/functions/dist/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/functions/dist/esm/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/functions/dist/esm/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/functions/dist/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/functions/dist/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/dist/esm/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/dist/esm/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/dist/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/dist/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/performance/dist/esm/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/performance/dist/esm/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/performance/dist/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/performance/dist/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/database/dist/esm/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/database/dist/esm/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/database/dist/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/database/dist/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/messaging/dist/esm/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/messaging/dist/esm/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/messaging/dist/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/messaging/dist/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/app/dist/esm/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/app/dist/esm/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/app/dist/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/app/dist/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/app-check/dist/esm/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/app-check/dist/esm/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/app-check/dist/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/app-check/dist/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/firestore/dist/esm/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/firestore/dist/esm/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/firestore/dist/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/firestore/dist/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/installations/dist/esm/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/installations/dist/esm/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/installations/dist/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/installations/dist/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/analytics/dist/esm/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/analytics/dist/esm/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/analytics/dist/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/analytics/dist/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/remote-config/dist/esm/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/remote-config/dist/esm/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/remote-config/dist/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/remote-config/dist/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/storage
/shumengya/project/frontend/scalar/node_modules/.pnpm/firebase@12.12.1/node_modules/firebase/compat/storage/dist/esm/compat/storage
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text:
总计 608
drwxr-xr-x 10 root root   4096  6月19日 14:11 .
drwxr-xr-x  5 www  www    4096  6月15日 02:03 ..
drwxr-xr-x  2 root root   4096  6月19日 14:12 .claude
drwxr-xr-x  4 root root   4096  5月12日 16:53 data
drwxr-xr-x  2 root root   4096  6月19日 14:11 docs
-rw-r--r--  1 root root    398  5月12日 21:41 .env
-rw-r--r--  1 root root    359  5月12日 21:41 .env.example
drwxr-xr-x  8 root root   4096  6月19日 14:25 .git
-rw-r--r--  1 root root     76  5月12日 17:09 .gitignore
-rw-r--r--  1 root root    623  5月13日 14:16 pyproject.toml
-rw-r--r--  1 root root   8965  6月19日 14:11 README.md
drwxr-xr-x  2 root root   4096  5月12日 17:13 scripts
drwxr-xr-x  3 root root   4096  5月12日 16:53 src
drwxr-xr-x  2 root root   4096  5月12日 16:53 tests
-rw-r--r--  1 root root 550536  5月12日 21:44 uv.lock
drwxr-xr-x  5 root root   4096  5月12日 17:09 .venv


thinking: 现在让我查看README.md来了解这个项目的基本信息。


toolName: read

text:
# 萌芽 RAG 知识库

轻量版 Obsidian 笔记 RAG 项目，基于 LlamaIndex 和 DeepSeek API。
检索使用 Markdown 结构感知分块 + 本地小 embedding + BM25 的混合检索，适合个人 Obsidian 笔记这种规模。

## 项目结构

```text
mengya-rag/
├── data/
│   ├── notes/          # 从 bigmengya 同步来的 Obsidian Markdown 笔记（不入库）
│   └── index/bm25/     # 本地索引目录（不入库）
│       └── rag.sqlite3 # SQLite + sqlite-vec 本地向量库
├── docs/
│   └── RAG优化方案.md  # 下一步优化计划
├── scripts/
│   ├── sync_notes.sh   # 同步 bigmengya 笔记
│   ├── sync_notes.py
│   ├── build_index.sh  # 构建索引
│   ├── build_index.py
│   ├── ask.sh          # 命令行问答
│   └── ask.py
├── src/mengya_rag/
│   ├── config.py           # 配置读取
│   ├── markdown_chunker.py # Markdown 结构感知分块
│   ├── embeddings.py       # Embedding 生成（FastEmbed / SentenceTransformers）
│   ├── vector_store.py     # SQLite + sqlite-vec 向量存储
│   ├── indexing.py         # 建索引（分块 + 向量写入）
│   ├── retrieval.py        # 混合检索、RRF 融合、盘点模式
│   ├── qa.py               # DeepSeek 生成回答
│   └── cli.py              # CLI 命令入口
├── .env.example
├── pyproject.toml
└── README.md
```

## 技术栈

- RAG 基础框架：LlamaIndex
- 本地 embedding：`BAAI/bge-small-zh-v1.5`
- embedding 运行：FastEmbed + ONNX
- 大模型回答：DeepSeek API
- 当前推荐模型：`deepseek-v4-flash`
- 检索方式：BM25 + 向量检索
- 融合方式：RRF 类融合 + 原始相似度过滤 + 同文件去重
- 数据库：无
- 向量库：SQLite + sqlite-vec
- 服务端：无，当前是命令行工具

## 初始化

```bash
cd /shumengya/project/agent/mengya-rag
cp .env.example .env
```

编辑 `.env`，填入：

```env
DEEPSEEK_API_KEY=你的 DeepSeek API Key
```

安装依赖：

```bash
uv sync
```

## 同步笔记

笔记源路径：

```text
bigmengya:/shumengya/docker/mengyanote-backend/data/mengyanote/
```

同步到本地：

```bash
./scripts/sync_notes.sh
# 或
uv run python scripts/sync_notes.py
```

## 构建索引

```bash
./scripts/build_index.sh
# 或
uv run python scripts/build_index.py
```

## 提问

```bash
./scripts/ask.sh "萌芽笔记是什么"
# 或
uv run python scripts/ask.py "萌芽笔记是什么"
```

也可以直接使用安装后的命令：

```bash
uv run mengya-ask "Docker 常用命令有哪些"
```

## Agent 调用推荐

统一入口是 `mengya-rag`。给大模型 Agent 或脚本调用时，推荐固定使用 `--json`，输出是一行 JSON，便于解析。

```bash
# 查看配置、索引和笔记数量
uv run mengya-rag status --json

# 只检索，不调用大模型，返回命中文档和内容
uv run mengya-rag search "Docker 常用命令" -k 5 --json

# 返回可直接注入上游大模型的 context 字段
uv run mengya-rag context "WireGuard 怎么配置" -k 4 --json

# 按 search/context 返回的 source 读取完整笔记
uv run mengya-rag read "Docker/Docker常用命令总结.md" --json

# 本项目自己调用 DeepSeek 生成回答
uv run mengya-rag ask "Docker 常用命令有哪些" -k 4 --json

# 同步笔记并重建索引
uv run mengya-rag reindex --json
```

Agent 优先使用这几个命令：

- `status --json`：检查索引是否存在、笔记数、节点数、模型配置。
- `search --json`：拿结构化检索结果，包含 `results[].source`、`title`、`heading_path`、`score`、`content`。
- `context --json`：拿拼好的 `context` 字符串，适合直接放进其他大模型提示词。
- `read --json`：按 `source` 读取完整 Markdown 原文，适合检索命中后补充上下文。
- `ask --json`：让本项目完成 RAG + DeepSeek 回答，返回 `answer` 和 `sources`。
- `reindex --json`：一条命令完成同步笔记和重建索引。

常用参数：

```bash
--mode auto|hybrid|inventory   # auto 默认；hybrid 普通语义检索；inventory 盘点/目录类检索
-k, --top-k 数字               # 控制返回条数
--env-file /path/.env          # 指定配置文件
--notes-dir /path/notes        # 覆盖笔记目录
--index-dir /path/index        # 覆盖索引目录
```

## 查询模式

项目会自动区分两类问题：

- 普通问答：例如“WireGuard 命令怎么用”，走 Markdown 分块 + 向量/BM25 混合检索。
- 盘点列表：例如“查一下我目前博客文章有哪些”“查一下安卓 Gradle 相关笔记”，走文件级目录检索，优先列出相关 Markdown 文件和内容预览。

## 技术原理

### Markdown 分块

项目不使用固定字符数暴力切割，而是使用结构感知分块：

```text
Markdown 文件
  ↓
解析 frontmatter
  ↓
识别 H1-H6 标题
  ↓
按标题层级组织分块
  ↓
代码块和表格整体保留
  ↓
长块使用滑动窗口兜底
```

每个 chunk 前会附加上下文前缀：

```text
文件: AI/控制台Agent工具安装教程.md
标题: 控制台Agent工具安装教程
标题路径: H1 > H2 > H3
```

每个 chunk 会保存这些元数据：

```text
source_file
rel_path
file_name
folder_path
title
heading_path
h1
h2
h3
h4
h5
h6
chunk_index
tags
created_at
```

### 索引构建

执行：

```bash
./scripts/build_index.sh
```

构建流程：

```text
Markdown 文件
  ↓
结构感知分块 → TextNode
  ↓
bge-small-zh-v1.5 生成 embedding → 归一化
  ↓
写入 SQLite + sqlite-vec（rag.sqlite3）
```

当前索引规模参考：

```text
笔记文件数: 495
分块数: ~1800
rag.sqlite3: ~10MB（chunk 表 + sqlite-vec 向量表）
```

### 普通问答检索

普通问答适合“怎么做”“是什么”“原理是什么”这类问题。

```text
用户问题
  ↓
query 清洗
  ↓
BM25 关键词检索
  ↓
本地向量语义检索
  ↓
RRF 融合
  ↓
同文件去重
  ↓
相关性过滤
  ↓
top-k chunk 注入 DeepSeek
  ↓
生成回答和来源
```

### 盘点列表检索

盘点列表适合“有哪些”“查一下”“相关笔记”“目录”“清单”这类问题。

```text
用户问题
  ↓
识别为盘点类问题
  ↓
构建文件级摘要节点
  ↓
文件级 BM25 检索
  ↓
关键词覆盖过滤
  ↓
输出 Markdown 文件列表、路径和内容预览
```

## 重新更新知识库

笔记变更后按顺序执行：

```bash
./scripts/sync_notes.sh
./scripts/build_index.sh
```

## 设计取舍

- Markdown 笔记按结构感知分块：识别 frontmatter、H1-H6、代码块、表格。
- H1-H6 标题会写入 `h1` 到 `h6` 元数据，同时保存 `heading_path` 面包屑。
- 代码块和表格整体保留，不跨块切割；长块再用滑动窗口兜底。
- 每个 chunk 都带 `source_file`、`heading_path`、`chunk_index`、`tags`、`created_at`。
- 本地 embedding 使用 `BAAI/bge-small-zh-v1.5`，通过 FastEmbed/ONNX 运行，不依赖 PyTorch 和 GPU。
- 检索采用 BM25 + 向量召回，再用 RRF 融合和同文件去重，避免只靠关键词或只靠语义。
- 使用 DeepSeek 只负责生成回答：减少 API 调用，只在提问时调用大模型。
- 本地向量库使用 SQLite + sqlite-vec：无需 Qdrant、Milvus、Postgres 等额外服务。

## 当前效果

目前比较适合处理：

- 某类笔记有哪些
- 某个教程在哪里
- 根据笔记总结某个主题
- 列出博客文章
- 列出 Agent 安装教程
- 查 Gradle 构建相关内容

示例：

```bash
./scripts/ask.sh '查一下我目前博客文章有哪些'
./scripts/ask.sh '查一下我的安卓gradle构建相关笔记'
./scripts/ask.sh '查一下我的Agent安装教程'
```

## 当前限制

- 当前是 SQLite + sqlite-vec 单机向量库，数据量很大后可以换 Qdrant 或 Chroma。
- 没有 reranker，复杂问题可能还会有弱相关内容混入。
- embedding 模型是轻量中文模型，效果够用但不是最强。
- `build_index` 每次是全量重建，还没有增量索引。
- frontmatter 解析是轻量手写版，不是完整 YAML 解析。
- 当前是 CLI 工具，没有 Web 页面和 API 服务。

## 后续优化方向

详见 [docs/RAG优化方案.md](docs/RAG优化方案.md)，主要方向：

- 中文分词换 jieba（BM25 召回率最大瓶颈）
- 放宽文件去重（当前每文件只取 1 chunk，长文章不友好）
- QA Prompt 加强引用约束，降低幻觉
- 注入上下文加 token 预算（节省费用 + 提升精度）
- 可选：换 `BAAI/bge-m3` 嵌入模型（中英混合效果更好）
- 增量索引，只重建变更文件
- 加 reranker，例如 `bge-reranker-v2-m3`
- 数据量变大后接 Qdrant

## 调参

`.env` 中可调整：

```env
TOP_K=6
EMBED_MODEL=BAAI/bge-small-zh-v1.5
EMBED_BATCH_SIZE=32
VECTOR_WEIGHT=0.65
BM25_WEIGHT=0.35
```


thinking: 现在我已经了解了mengya-rag项目。这是一个基于LlamaIndex和DeepSeek API的轻量级RAG（检索增强生成）知识库项目，专门用于处理Obsidian笔记。让我总结一下这个项目的关键信息。

text:
找到了！(｡･ω･｡) 这是你的 **萌芽 RAG 知识库** 项目，在 `/shumengya/project/agent/mengya-rag/` 目录下。

## 项目概览

**mengya-rag** 是一个轻量版的 Obsidian 笔记 RAG 项目，基于 LlamaIndex 和 DeepSeek API 构建。

### 核心功能
- **结构感知分块**：智能识别 Markdown 标题层级、代码块、表格
- **混合检索**：BM25 关键词 + 向量语义检索，使用 RRF 融合
- **本地 embedding**：使用 `BAAI/bge-small-zh-v1.5` 模型
- **DeepSeek 生成**：通过 API 生成回答，推荐使用 `deepseek-v4-flash`

### 技术栈
- 向量库：SQLite + sqlite-vec（轻量级，无需额外服务）
- Embedding：FastEmbed + ONNX（不需要 GPU）
- 查询模式：自动区分普通问答和盘点列表类问题

### 主要命令
```bash
# 查看状态
uv run mengya-rag status --json

# 搜索
uv run mengya-rag search "问题" -k 5 --json

# 获取上下文
uv run mengya-rag context "问题" -k 4 --json

# 直接问答
uv run mengya-rag ask "问题" -k 4 --json

# 重建索引
uv run mengya-rag reindex --json
```

### 当前规模
- 笔记文件数：495 个
- 分块数：约 1800 个
- 索引大小：约 10MB

这个项目设计得很实用，专门针对个人 Obsidian 笔记的 RAG 需求 |･ω･｀) 需要我帮你查看具体代码或执行什么操作吗？


text: 你是谁啊


thinking: 用户问我是谁。根据项目上下文，我的名字是"萌小芽"和sproutclaw，是树萌芽的智能AI助手。我应该简洁地介绍自己。

text:
你好！(｡･ω･｡)

我是**萌小芽**，树萌芽的智能 AI 助手。你可以叫我 sproutclaw。

我的目标是积极、耐心、务实地帮助你解决问题。无论是代码开发、服务器运维、项目管理，还是日常问题，我都会尽力协助你 (｀・ω・´)

有什么可以帮你的吗？