\u3056\u3063\u304f\u308a\u8a00\u3046\u3068<\/p>\n\n\n\n
- \n
- LangGraph\u3067\u306f\u3001\u81ea\u5f8b\u7684\u306b\u5224\u65ad\u3084\u884c\u52d5\u3092\u3059\u308bRAG\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u69cb\u7bc9\u3067\u304d\u308b<\/li>\n\n\n\n
- Adaptive-RAG\u3001CRAG\u3001Self-RAG\u3092\u7d44\u307f\u5408\u308f\u305b\u305f\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u5b9f\u88c5\u3059\u308b<\/li>\n\n\n\n
- LLM\u306b\u306f\u7121\u6599\u306e\u65e5\u672c\u8a9e\u30e2\u30c7\u30eb\u306eLlama-3-ELYZA-JP-8B\u3092\u4f7f\u7528\u3059\u308b<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n
LangGraph\u3067RAG\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u69cb\u7bc9\u3059\u308b<\/h2>\n\n\n\n
![\"\u898b\u51fa\u3057\u753b\u50cf\"](\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/shirokuman5_midashi.jpg\")
<\/figure>\n\n\n\nLangGraph\u3067\u306f\u3001\u4eba\u9593\u306e\u6307\u793a\u3092\u3082\u3068\u306b\u81ea\u5f8b\u7684\u306b\u5224\u65ad\u3084\u884c\u52d5\u3092\u3059\u308bRAG\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u69cb\u7bc9\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001LangGraph\u3092\u4f7f\u3063\u3066Adaptive-RAG\u3001CRAG\u3001Self-RAG\u3092\u7d44\u307f\u5408\u308f\u305b\u305f\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306e\u4f5c\u308a\u65b9\u3092\u89e3\u8aac\u3057\u307e\u3059\u3002<\/span><\/p>\n\n\n\n
\u7528\u8a9e\u306e\u89e3\u8aac<\/span><\/div>\nAdaptive-RAG<\/span><\/p>\n\n\n\n
\u8cea\u554f\u306e\u5185\u5bb9\u306b\u5fdc\u3058\u3066\u52d5\u7684\u306b\u6700\u9069\u306a\u691c\u7d22\u65b9\u6cd5\u3092\u5909\u3048\u308b\u624b\u6cd5<\/p>\n\n\n\n
CRAG<\/span><\/p>\n\n\n\n
RAG\u3067\u53d6\u5f97\u3057\u305f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u304c\u3001\u8cea\u554f\u306b\u5bfe\u3057\u3066\u6b63\u3057\u3044\u304b\u3092\u8a55\u4fa1\u3057\u3001\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u4ed6\u306e\u60c5\u5831\u6e90\u3092\u63a2\u7d22\u3059\u308b\u624b\u6cd5<\/p>\n\n\n\n
Self-RAG<\/span><\/p>\n\n\n\n
\u751f\u6210\u3055\u308c\u305f\u56de\u7b54\u306b\u5bfe\u3057\u3066\u81ea\u5df1\u8a55\u4fa1\u3092\u884c\u3044\u3001\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u4fee\u6b63\u3059\u308b\u624b\u6cd5<\/p>\n<\/div><\/div>\n\n\n\n
Adaptive-RAG\u306b\u3064\u3044\u3066\u3001\u5225\u306e\u8a18\u4e8b\u3067\u89e3\u8aac\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n
\t\t\t\n\t\t\t\t\n\t\t\t\t\t\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t![\"\"](\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/adaptiverag-eyecatch-300x158.jpg\")
<\/figure><\/div>\t\t\t\t\t\n\t\t\t\t\t\tLangGraph\u3067Adaptive-RAG\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u69cb\u7bc9\uff01\u300e\u30c1\u30a7\u30f3\u30bd\u30fc\u30de\u30f3\u300f\u306b\u3064\u3044\u3066\u805e\u304f<\/a>\n\t\t\t\t\t\tAdaptive-RAG\u3068\u306f\u3001\u8cea\u554f\u306e\u5185\u5bb9\u306b\u5fdc\u3058\u3066\u52d5\u7684\u306b\u6700\u9069\u306a\u691c\u7d22\u65b9\u6cd5\u3092\u5909\u3048\u308b\u30a2\u30d7\u30ed\u30fc\u30c1\u3067\u3059\u3002 \u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001LangGraph\u3092\u4f7f\u3063\u3066Adaptive-RAG\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u69cb\u7bc9\u3059\u308b\u65b9\u6cd5\u3092\u7d39\u4ecb…<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\n\nCRAG\u306b\u3064\u3044\u3066\u3001\u5225\u306e\u8a18\u4e8b\u3067\u89e3\u8aac\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n
\t\t\t\n\t\t\t\t\n\t\t\t\t\t\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t![\"\"](\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/09\/crag-eyecatch-300x158.jpg\")
<\/figure><\/div>\t\t\t\t\t\n\t\t\t\t\t\tLangGraph\u3067CRAG\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u69cb\u7bc9\uff01\u300e\u30d2\u30ed\u30a2\u30ab\u300f\u306b\u3064\u3044\u3066\u805e\u304f<\/a>\n\t\t\t\t\t\tCRAG(Corrective-RAG)\u3068\u306f\u3001RAG\u3067\u53d6\u5f97\u3057\u305f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u304c\u3001\u8cea\u554f\u306b\u5bfe\u3057\u3066\u6b63\u3057\u3044\u304b\u3092\u8a55\u4fa1\u3059\u308b\u624b\u6cd5\u3067\u3059\u3002 \u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001LangGraph\u3092\u4f7f\u3063\u3066CRAG\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u69cb\u7bc9\u3059\u308b\u65b9\u6cd5…<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\n\nSelf-RAG\u306b\u3064\u3044\u3066\u3001\u5225\u306e\u8a18\u4e8b\u3067\u89e3\u8aac\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n
\t\t\t\n\t\t\t\t\n\t\t\t\t\t\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t![\"\"](\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/09\/selfrag-eyecatch-300x158.jpg\")
<\/figure><\/div>\t\t\t\t\t\n\t\t\t\t\t\tLangGraph\u3067Self-RAG\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u69cb\u7bc9\uff01\u300e\u63a8\u3057\u306e\u5b50\u300f\u306b\u3064\u3044\u3066\u805e\u304f<\/a>\n\t\t\t\t\t\tSelf-RAG\u306f\u3001LLM\u304c\u81ea\u5df1\u8a55\u4fa1\u3092\u884c\u3063\u3066RAG\u306e\u4fe1\u983c\u6027\u3092\u5411\u4e0a\u3055\u305b\u308b\u624b\u6cd5\u3067\u3059\u3002 \u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u751f\u6210\u3055\u308c\u305f\u56de\u7b54\u304c\u4e8b\u5b9f\u306b\u57fa\u3065\u3044\u3066\u3044\u308b\u304b\u3001\u8cea\u554f\u306e\u89e3\u6c7a\u306b\u6709\u7528\u3067\u3042\u308b\u304b\u3092\u81ea\u5df1\u8a55\u4fa1\u3059\u308b…<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\n\n50\uff05\u5b89\u3044\u696d\u754c\u6700\u5b89\u7d1aGPU\u30af\u30e9\u30a6\u30c9\u300cGPUSOROBAN\u300d<\/div>![\"GPUSOROBAN\"](\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/06\/gpusorobanlllm_banner.jpg\")
<\/a><\/div><\/div><\/i><\/i><\/i><\/i><\/i><\/div>GPU\u306e\u30b3\u30b9\u30c8\u3067\u304a\u60a9\u307f\u306e\u65b9\u306b\uff01<\/div>AWS\u3068\u6bd4\u3079\u306650%\u4ee5\u4e0a\u5b89\u3044\u6599\u91d1\u3067\u3001\u9ad8\u901fGPU\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u3054\u5229\u7528\u3044\u305f\u3060\u3051\u307e\u3059\u3002\r\n\u9762\u5012\u306a\u8a2d\u5b9a\u306f\u4e0d\u8981\u3001\u308f\u305a\u304b3\u5206\u3067\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306e\u7acb\u3061\u4e0a\u3052\u304c\u53ef\u80fd\u3067\u3059\u3002\r\n\u30bf\u30b9\u30af\u306b\u5fdc\u3058\u3066\u6700\u9069\u306aGPU\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u9078\u629e\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/div><\/div><\/div>\u516c\u5f0f\u30b5\u30a4\u30c8\u3092\u898b\u308b<\/a>\u8cc7\u6599\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9<\/a><\/div><\/div><\/p>\n<\/div>\n\n\n\nLangGraph\u306e\u30ef\u30fc\u30af\u30d5\u30ed\u30fc<\/h2>\n\n\n\n
LangGraph\u306e\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306f\u5927\u304d\u304f\u6b21\u306e\u3088\u3046\u306a\u30b9\u30c6\u30c3\u30d7\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
\n- \n
- \u8cea\u554f\u306b\u5fdc\u3058\u3066\u30d9\u30af\u30c8\u30eb\u30b9\u30c8\u30a2\u3092\u4f7f\u3046\u304b\u3001Web\u691c\u7d22\u3059\u308b\u304b\u3092\u9078\u629e\u3059\u308b\uff08Adaptive-RAG\uff09<\/li>\n\n\n\n
- \u30d9\u30af\u30c8\u30eb\u30b9\u30c8\u30a2\u304b\u3089\u53d6\u5f97\u3057\u305f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u304c\u8cea\u554f\u306b\u95a2\u9023\u3057\u3066\u3044\u308b\u304b\u8a55\u4fa1\u3059\u308b\uff08CRAG\uff09<\/li>\n\n\n\n
- \u751f\u6210\u3055\u308c\u305f\u56de\u7b54\u304c\u3001\u4e8b\u5b9f\u306b\u57fa\u3065\u3044\u3066\u3044\u308b\u304b\u3001\u8cea\u554f\u3092\u89e3\u6c7a\u3059\u308b\u306e\u306b\u5f79\u306b\u7acb\u3064\u304b\u3092\u8a55\u4fa1\u3059\u308b\uff08Self-RAG\uff09<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n
![\"workflow\"](\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/09\/LangGraph_1.jpg\")
<\/figure>\n\n\n\n\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306e\u5404\u30b9\u30c6\u30c3\u30d7\u306b\u306f\u6b21\u306e\u3088\u3046\u306a\u6a5f\u80fd\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306e\u8aac\u660e<\/span><\/div>\n- \n
- \u30eb\u30fc\u30bf\u30fc\uff1a\u8cea\u554f\u306b\u5fdc\u3058\u3066\u30d9\u30af\u30c8\u30eb\u30b9\u30c8\u30a2\u3092\u4f7f\u3046\u304b\u3001Web\u691c\u7d22\u3059\u308b\u304b\u3092\u9078\u629e\u3059\u308b<\/li>\n\n\n\n
- Retriver\uff1a\u8cea\u554f\u3092\u3082\u3068\u306b\u30d9\u30af\u30c8\u30eb\u30b9\u30c8\u30a2\u304b\u3089\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u53d6\u5f97\u3059\u308b<\/li>\n\n\n\n
- \u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u306e\u95a2\u9023\u6027\u8a55\u4fa1\uff1a\u30d9\u30af\u30c8\u30eb\u30b9\u30c8\u30a2\u304b\u3089\u53d6\u5f97\u3057\u305f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u304c\u8cea\u554f\u306b\u95a2\u9023\u3057\u3066\u3044\u308b\u304b\u8a55\u4fa1\u3059\u308b<\/li>\n\n\n\n
- Web\u691c\u7d22\u306e\u5224\u5b9a\uff1a\u95a2\u9023\u6027\u8a55\u4fa1\u306b\u5fdc\u3058\u3066\u3001\u56de\u7b54\u3092\u751f\u6210\u3059\u308b\u304b\u3001Web\u691c\u7d22\u306b\u9032\u3080\u304b\u3092\u5224\u5b9a\u3057\u307e\u3059\u3002<\/li>\n\n\n\n
- Web\u691c\u7d22\uff1aWeb\u691c\u7d22\u306e\u5224\u5b9a\u3001\u6709\u7528\u6027\u306e\u5224\u5b9a\u306b\u5fdc\u3058\u3066\u3001Web\u691c\u7d22\u3092\u884c\u3046<\/li>\n\n\n\n
- \u56de\u7b54\u306e\u751f\u6210\uff1a\u53d6\u5f97\u3057\u305f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3068Web\u691c\u7d22\u306e\u7d50\u679c\u3092\u3082\u3068\u306bRAG\u3067\u56de\u7b54\u3092\u751f\u6210\u3059\u308b<\/li>\n\n\n\n
- \u30cf\u30eb\u30b7\u30cd\u30fc\u30b7\u30e7\u30f3\u306e\u5224\u5b9a\uff1a\u751f\u6210\u3055\u308c\u305f\u56de\u7b54\u304c\u4e8b\u5b9f\u306b\u57fa\u3065\u3044\u3066\u3044\u308b\u304b\u3092\u8a55\u4fa1\u3059\u308b<\/li>\n\n\n\n
- \u6709\u7528\u6027\u306e\u5224\u5b9a\uff1a\u751f\u6210\u3055\u308c\u305f\u56de\u7b54\u304c\u8cea\u554f\u3092\u89e3\u6c7a\u3059\u308b\u306e\u306b\u5f79\u306b\u7acb\u3064\u304b\u3092\u8a55\u4fa1\u3059\u308b<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n
LangGraph\u306e\u5b9f\u884c\u74b0\u5883<\/h2>\n\n\n\n
![\"\u898b\u51fa\u3057\u753b\u50cf\"](\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/plant_midashi.jpg\")
<\/figure>\n\n\n\n\u3053\u306e\u8a18\u4e8b\u3067\u7528\u610f\u3057\u305f\u5b9f\u884c\u74b0\u5883\u306f\u4ee5\u4e0b\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n\n\n\n
\n- \n
- GPU\uff1aNVIDIA A100 80GB<\/li>\n\n\n\n
- GPU\u30e1\u30e2\u30ea\uff08VRAM\uff09\uff1a80GB<\/li>\n\n\n\n
- OS \uff1aUbuntu 22.04<\/li>\n\n\n\n
- Docker<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n
Docker\u3067\u74b0\u5883\u69cb\u7bc9<\/h3>\n\n\n\n
Docker\u3092\u4f7f\u7528\u3057\u3066LangChain\u306e\u74b0\u5883\u69cb\u7bc9\u3092\u3057\u307e\u3059<\/span><\/p>\n\n\n\n
Docker\u306e\u4f7f\u3044\u65b9\u306f\u4ee5\u4e0b\u306e\u8a18\u4e8b\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n
\t\t\t\n\t\t\t\t\n\t\t\t\t\t\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t![\"\"](\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/06\/ubuntudocker-eyecatch-300x158.jpg\")
<\/figure><\/div>\t\t\t\t\t\n\t\t\t\t\t\tUbuntu\u306bDocker\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\uff01GPU\u3092\u30b3\u30f3\u30c6\u30ca\u304b\u3089\u4f7f\u3046\u65b9\u6cd5<\/a>\n\t\t\t\t\t\tGPU\u306e\u74b0\u5883\u69cb\u7bc9\u3067\u306f\u3001\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u4e0d\u4e00\u81f4\u306b\u3088\u308b\u30a8\u30e9\u30fc\u304c\u983b\u767a\u3057\u307e\u3059\u3002 Docker\u3092\u4f7f\u3046\u3053\u3068\u3067\u3001\u3053\u306e\u3088\u3046\u306a\u4f9d\u5b58\u95a2\u4fc2\u306e\u30a8\u30e9\u30fc\u3092\u56de\u907f\u3057\u3084\u3059\u304f\u306a\u308a\u307e\u3059\u3002 \u3053\u306e\u8a18\u4e8b\u3067…<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\n\n\nSTEP<\/span><\/div>Dockerfile\u306e\u4f5c\u6210<\/div>\nUbuntu\u306e\u30b3\u30de\u30f3\u30c9\u30e9\u30a4\u30f3\u3067\u3001Dockerfile\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
mkdir langgraph_agent\ncd langgraph_agent\nnano Dockerfile<\/code><\/pre>\n\n\n\nDockerfile\u306b\u4ee5\u4e0b\u306e\u8a18\u8ff0\u3092\u8cbc\u308a\u4ed8\u3051\u307e\u3059\u3002<\/p>\n\n\n\n
# \u30d9\u30fc\u30b9\u30a4\u30e1\u30fc\u30b8(CUDA)\u306e\u6307\u5b9a\nFROM nvidia\/cuda:12.1.0-cudnn8-devel-ubuntu22.04\n\n# \u5fc5\u8981\u306a\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\nRUN apt-get update && apt-get install -y python3-pip python3-venv git nano curl pciutils lshw python3-dev graphviz libgraphviz-dev pkg-config\n\nRUN curl -fsSL https:\/\/ollama.com\/install.sh | sh\n\n# \u4f5c\u696d\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u3092\u8a2d\u5b9a\nWORKDIR \/app\n\n# \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\nCOPY . \/app\n\n# Python\u4eee\u60f3\u74b0\u5883\u306e\u4f5c\u6210\nRUN python3 -m venv \/app\/.venv\n\n# \u4eee\u60f3\u74b0\u5883\u3092\u30a2\u30af\u30c6\u30a3\u30d9\u30fc\u30c8\u3059\u308b\u30b3\u30de\u30f3\u30c9\u3092.bashrc\u306b\u8ffd\u52a0\nRUN echo \"source \/app\/.venv\/bin\/activate\" >> \/root\/.bashrc\n\n# JupyterLab\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\nRUN \/app\/.venv\/bin\/pip install Jupyter jupyterlab\n\n# LangChain\u95a2\u9023\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\nRUN \/app\/.venv\/bin\/pip install ollama langchain-ollama langchain langsmith langgraph langchain-chroma faiss-gpu langchain-community langchain_huggingface langchain_core tiktoken pygraphviz\n\n# \u30b3\u30f3\u30c6\u30ca\u306e\u8d77\u52d5\u6642\u306bbash\u3092\u5b9f\u884c\nCMD [\"\/bin\/bash\"]<\/code><\/pre>\n\n\n\n\u30b3\u30de\u30f3\u30c9\u306e\u8aac\u660e<\/span><\/div>\nFROM nvidia\/cuda:12.1.0-cudnn8-devel-ubuntu22.04<\/span><\/p>\n\n\n\n
CUDA12.1\u306e\u30d9\u30fc\u30b9\u30a4\u30e1\u30fc\u30b8\u3092\u6307\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
RUN apt-get update && apt-get install -y python3-pip python3-venv git nano curl pciutils lshw python3-dev graphviz libgraphviz-dev pkg-config<\/span><\/p>\n\n\n\n
\u5fc5\u8981\u306a\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
RUN curl -fsSL https:\/\/ollama.com\/install.sh | sh<\/span><\/span><\/p>\n\n\n\n
Linux\u7248\u306eOllama\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u3044\u307e\u3059\u3002Python\u3067Ollama\u3092\u52d5\u304b\u3059\u969b\u306b\u3082Linux\u7248Ollama\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u304c\u5fc5\u8981\u306b\u306a\u308a\u307e\u3059\u306e\u3067\u3054\u6ce8\u610f\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n
RUN \/app\/.venv\/bin\/pip install Jupyter jupyterlab<\/span><\/p>\n\n\n\n
JupyterLab\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
RUN \/app\/.venv\/bin\/pip install ollama langchain-ollama langchain langsmith langgraph langchain-chroma faiss-gpu langchain-community langchain_huggingface langchain_core tiktoken pygraphviz<\/span><\/p>\n\n\n\n
LangChain\u3068Ollama\u95a2\u9023\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
LLM\u306fOllama\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u3063\u3066\u52d5\u304b\u3057\u307e\u3059\u306e\u3067\u3001PyTorch\u3084Transformer\u306f\u5225\u9014\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u4e0d\u8981\u3067\u3059\u3002<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
STEP<\/span><\/div>docker-compose.yml\u30d5\u30a1\u30a4\u30eb\u306e\u4f5c\u6210<\/div>\ndocker-compose.yml\u3067Docker\u30b3\u30f3\u30c6\u30ca\u306e\u8a2d\u5b9a\u3092\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
docker-compose.yml\u306eYAML\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u6210\u3057\u3066\u958b\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
nano docker-compose.yml<\/code><\/pre>\n\n\n\n\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3057\u3066\u3001YAML\u30d5\u30a1\u30a4\u30eb\u306b\u8cbc\u308a\u4ed8\u3051\u307e\u3059\u3002<\/p>\n\n\n\n
services:\n langgraph_agent:\n build:\n context: .\n dockerfile: Dockerfile\n image: langgraph_agent\n runtime: nvidia\n container_name: langgraph_agent\n ports:\n - \"8888:8888\"\n volumes:\n - .:\/app\/langgraph_agent\n deploy:\n resources:\n reservations:\n devices:\n - driver: nvidia\n count: 1\n capabilities: [gpu]\n command: >\n bash -c '\/usr\/local\/bin\/ollama serve & \/app\/.venv\/bin\/jupyter lab --ip=\"*\" --port=8888 --NotebookApp.token=\"\" --NotebookApp.password=\"\" --no-browser --allow-root'<\/code><\/pre>\n\n\n\n\u30b3\u30de\u30f3\u30c9\u306e\u8aac\u660e<\/span><\/div>\nbash -c ‘\/usr\/local\/bin\/ollama serve & \/app\/.venv\/bin\/jupyter lab –ip=”*” –port=8888 –NotebookApp.token=”” –NotebookApp.password=”” –no-browser –allow-root’<\/span><\/p>\n\n\n\n
bash -c '\/usr\/local\/bin\/ollama serve<\/code><\/p>\n\n\n\nOllama Server\u3092\u8d77\u52d5\u3057\u3066\u3044\u307e\u3059\u3002Python\u306eOllama\u3092\u4f7f\u7528\u3059\u308b\u969b\u306b\u3001Ollama Server\u3092\u8d77\u52d5\u3057\u3066\u304a\u304f\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u306e\u3067\u3001\u3054\u6ce8\u610f\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n
& \/app\/.venv\/bin\/jupyter lab --ip=\"*\" --port=8888 --NotebookApp.token=\"\" --NotebookApp.password=\"\" --no-browser --allow-root'<\/code><\/p>\n\n\n\nJupyterLab\u30928888\u756a\u30dd\u30fc\u30c8\u3067\u8d77\u52d5\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
STEP<\/span><\/div>Docker\u30b3\u30f3\u30c6\u30ca\u3092\u8d77\u52d5<\/div>\nDockerfile\u304b\u3089\u30d3\u30eb\u30c9\u3057\u3066\u30b3\u30f3\u30c6\u30ca\u3092\u8d77\u52d5\u3057\u307e\u3059\u3002 <\/p>\n\n\n\n
docker compose up<\/code><\/pre>\n\n\n\n<\/p>\n\n\n\n
Docker\u306e\u8d77\u52d5\u5f8c\u306b\u30d6\u30e9\u30a6\u30b6\u306e\u691c\u7d22\u7a93\u306b”localhost:8888″\u3092\u5165\u529b\u3059\u308b\u3068\u3001Jupyter Lab\u3092\u30d6\u30e9\u30a6\u30b6\u3067\u8868\u793a\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
localhost:8888<\/code><\/pre>\n<\/div><\/div>\n<\/div>\n\n\n\n\u74b0\u5883\u5909\u6570\u30fbLLM\u30fbRetriever\u306e\u8a2d\u5b9a<\/h2>\n\n\n\n
![\"\u898b\u51fa\u3057\u753b\u50cf\"](\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/kapibara_midashi-2.jpg\")
<\/figure>\n\n\n\nDocker\u30b3\u30f3\u30c6\u30ca\u3067\u8d77\u52d5\u3057\u305fJupyter Lab\u4e0a\u3067LangChain\u3092\u4f7f\u3063\u305fRAG\u306e\u5b9f\u88c5\u3092\u3057\u307e\u3059\u3002<\/span><\/p>\n\n\n\n
\nSTEP<\/span><\/div>\u74b0\u5883\u5909\u6570\u306e\u8a2d\u5b9a<\/div>\nLangChain\u3068Tavily\u306eAPI\u306b\u95a2\u3059\u308b\u74b0\u5883\u5909\u6570\u3092\u8a2d\u5b9a\u3057\u307e\u3059\u3002<\/span><\/p>\n\n\n\n
import os\nfrom uuid import uuid4\n\nunique_id = uuid4().hex[0:8]\n\nos.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\nos.environ[\"LANGCHAIN_PROJECT\"] = f\"rag_agent - {unique_id}\"\nos.environ[\"LANGCHAIN_ENDPOINT\"] = \"https:\/\/api.smith.langchain.com\"\nos.environ[\"LANGCHAIN_API_KEY\"] = \"***************\"\nos.environ[\"TAVILY_API_KEY\"] = \"***************\"<\/code><\/pre>\n\n\n\n\u30b3\u30fc\u30c9\u306e\u8aac\u660e<\/span><\/div>\nunique_id = uuid4().hex[0:8]<\/span><\/p>\n\n\n\n
8\u6841\u306e\u30e9\u30f3\u30c0\u30e0\u306a\u4e00\u610f\u306e\u8b58\u5225\u5b50
unique_id<\/code>\u3092\u751f\u6210\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\nos.environ[“LANGCHAIN_TRACING_V2”] = “true”<\/span><\/p>\n\n\n\n
\u3053\u306e\u8a2d\u5b9a\u306b\u3088\u308a\u3001LangChain\u306e\u30c8\u30ec\u30fc\u30b9\u304c\u53ef\u80fd\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
os.environ[“LANGCHAIN_PROJECT”] = f”rag_agent – {unique_id}”<\/span><\/p>\n\n\n\n
angChain\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u540d\u524d\u3092\u8a2d\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u3053\u3067\u306f\u3001\u751f\u6210\u3057\u305f
unique_id<\/code>\u3092\u4f7f\u7528\u3057\u3066\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u540d\u3092\u300crag_agent – {unique_id}\u300d\u306e\u5f62\u5f0f\u3067\u4e00\u610f\u306b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\nos.environ[“LANGCHAIN_ENDPOINT”] = “https:\/\/api.smith.langchain.com”<\/span><\/p>\n\n\n\n
LangChain\u306eAPI\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u3092\u6307\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
os.environ[“LANGCHAIN_API_KEY”] = “***************”<\/span><\/p>\n\n\n\n
LangChain API\u3092\u5229\u7528\u3059\u308b\u305f\u3081\u306eAPI\u30ad\u30fc\u3092\u8a2d\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
os.environ[“TAVILY_API_KEY”] = “***************”<\/span><\/p>\n\n\n\n
Tavily API\u3092\u5229\u7528\u3059\u308b\u305f\u3081\u306eAPI\u30ad\u30fc\u3092\u8a2d\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
STEP<\/span><\/div>LLM\u306e\u8a2d\u5b9a<\/div>\n\u65e5\u672c\u8a9eLLM\u30e2\u30c7\u30eb\u300cLlama-3-ELYZA-JP-8B-q4_k_m.gguf\u300d\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002<\/span><\/p>\n\n\n\n
!curl -L -o Llama-3-ELYZA-JP-8B-q4_k_m.gguf \"https:\/\/huggingface.co\/elyza\/Llama-3-ELYZA-JP-8B-GGUF\/resolve\/main\/Llama-3-ELYZA-JP-8B-q4_k_m.gguf?download=true\"<\/code><\/pre>\n\n\n\nLlama-3-ELYZA-JP\u306b\u3064\u3044\u3066\u306f\u3001\u5225\u8a18\u4e8b\u3067\u8a73\u3057\u304f\u89e3\u8aac\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n
\t\t\t\n\t\t\t\t\n\t\t\t\t\t\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t![\"\"](\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/07\/elyza3-eyecatch-300x158.jpg\")
<\/figure><\/div>\t\t\t\t\t\n\t\t\t\t\t\tGPT-4\u8d85\u3048\u306e\u65e5\u672c\u8a9eLLM\u300cLlama-3-ELYZA-JP\u300d\u306e\u6027\u80fd\u30fb\u4f7f\u3044\u65b9\uff01<\/a>\n\t\t\t\t\t\tLlama-3-ELYZA-JP\u306f\u3001\u6771\u5927\u30fb\u677e\u5c3e\u7814\u767a\u306e\u30b9\u30bf\u30fc\u30c8\u30a2\u30c3\u30d7ELYZA\u304c\u516c\u958b\u3057\u305f\u65e5\u672c\u8a9eLLM\u3067\u3059\u3002 Llama-3-ELYZA-JP-70B\u306f\u3001\u300cGPT-4\u300d\u3084\u300cClaude 3 Sonnet\u300d\u3092\u4e0a\u56de\u308b\u6027\u80fd\u304c\u3042\u308a\u307e\u3059…<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\n\n\n\n\n\nLLM\u306e\u5b9f\u884c\u306b\u306fOllama\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
LLM\u306e\u30e2\u30c7\u30eb\u304cOllama\u4f7f\u3048\u308b\u3088\u3046\u306b\u30d7\u30ed\u30f3\u30d7\u30c8\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u3092\u6307\u5b9a\u3057\u3066\u3001\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/span><\/p>\n\n\n\n
import ollama\nfrom langchain_community.chat_models import ChatOllama\n\nmodelfile='''\nFROM .\/Llama-3-ELYZA-JP-8B-q4_k_m.gguf\nTEMPLATE \"\"\"{{ if .System }}<|start_header_id|>system<|end_header_id|>\n\n{{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>\n\n{{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>\n\n{{ .Response }}<|eot_id|>\"\"\"\nPARAMETER stop \"<|start_header_id|>\"\nPARAMETER stop \"<|end_header_id|>\"\nPARAMETER stop \"<|eot_id|>\"\nPARAMETER stop \"<|reserved_special_token\"\n'''\n\nollama.create(model='elyza8b', modelfile=modelfile)\nllm = ChatOllama(model=\"elyza8b\", temperature=0)\nllm.invoke((\"human\",\"\u30b8\u30d6\u30ea\u3092\u77e5\u3063\u3066\u3044\u307e\u3059\u304b\uff1f\")).content<\/code><\/pre>\n\n\n\n\u30b3\u30fc\u30c9\u306e\u8aac\u660e<\/span><\/div>\nFROM .\/Llama-3-ELYZA-JP-8B-q4_k_m.gguf<\/span><\/p>\n\n\n\n
\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u305f\u30e2\u30c7\u30eb\u306e\u30d1\u30b9\u304c\u5165\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
TEMPLATE “””{{ if .System }}<|start_header_id|>system<|end_header_id|>…<\/span><\/p>\n\n\n\n
\u30e2\u30c7\u30eb\u3067\u4f7f\u7528\u3059\u308b\u30d7\u30ed\u30f3\u30d7\u30c8\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u304c\u5165\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
ollama.create(model=’elyza8b’, modelfile=modelfile)<\/span><\/p>\n\n\n\n
\u30e2\u30c7\u30eb\u3068\u30d7\u30ed\u30f3\u30d7\u30c8\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u3092\u4f7f\u3063\u3066Ollama\u7528\u306e\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002
model<\/code>\u306b\u306fOllama\u3067\u547c\u3073\u51fa\u3059\u969b\u306b\u4f7f\u7528\u3059\u308b\u540d\u524d\u3092\u3064\u3051\u3089\u308c\u307e\u3059\u3002<\/p>\n\n\n\nChatOllama(model=”elyza8b”, temperature=0)<\/span><\/p>\n\n\n\n
ChatOllama\u3092\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u5316\u3057\u3066LLM\u30e2\u30c7\u30eb\u3092\u5b9f\u884c\u3067\u304d\u308b\u72b6\u614b\u306b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/div><\/div>\n\n\n\n
\u78ba\u8a8d\u306e\u305f\u3081\u3001LLM\u304b\u3089\u30c6\u30ad\u30b9\u30c8\u3092\u751f\u6210\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
'\u30b9\u30bf\u30b8\u30aa\u30b8\u30d6\u30ea\u306f\u65e5\u672c\u306e\u30a2\u30cb\u30e1\u30fc\u30b7\u30e7\u30f3\u5236\u4f5c\u4f1a\u793e\u3067\u3001\u591a\u304f\u306e\u540d\u4f5c\u3092\u751f\u307f\u51fa\u3057\u3066\u3044\u307e\u3059\u3002\u5bae\u5d0e\u99ff\u76e3\u7763\u3084\u9ad8\u7551\u52f2\u76e3\u7763\u306a\u3069\u304c\u6709\u540d\u3067\u3059\u3002\\n\\n\u4ee3\u8868\u4f5c\u306b\u306f\u3001\u300c\u98a8\u306e\u8c37\u306e\u30ca\u30a6\u30b7\u30ab\u300d\u3001\u300c\u5929\u7a7a\u306e\u57ce\u30e9\u30d4\u30e5\u30bf\u300d\u3001\u300c\u3082\u306e\u306e\u3051\u59eb\u300d\u3001\u300c\u5343\u3068\u5343\u5c0b\u306e\u795e\u96a0\u3057\u300d\u3001\u300c\u30cf\u30a6\u30eb\u306e\u52d5\u304f\u57ce\u300d\u3001\u300c\u5d16\u306e\u4e0a\u306e\u30dd\u30cb\u30e7\u300d\u3001\u300c\u501f\u308a\u3050\u3089\u3057\u306e\u30a2\u30ea\u30a8\u30c3\u30c6\u30a3\u300d\u306a\u3069\u304c\u3042\u308a\u307e\u3059\u3002\\n\\n\u30b8\u30d6\u30ea\u4f5c\u54c1\u306f\u3001\u7f8e\u3057\u3044\u30a2\u30cb\u30e1\u30fc\u30b7\u30e7\u30f3\u3084\u30b9\u30c8\u30fc\u30ea\u30fc\u304c\u7279\u5fb4\u3067\u3001\u4e16\u754c\u4e2d\u3067\u611b\u3055\u308c\u3066\u3044\u307e\u3059\u3002'<\/code><\/pre>\n\n\n\nollama.create\u306e\u30a8\u30e9\u30fc\u300cinvalid digest format\u300d\u306e\u89e3\u6d88\u65b9\u6cd5<\/p>\n\n\n
\t\t\t\n\t\t\t\t\n\t\t\t\t\t\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t![\"\"](\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/12\/eyecatch_ollama_create_error-300x157.jpg\")
<\/figure><\/div>\t\t\t\t\t\n\t\t\t\t\t\tollama.create\u306e\u30a8\u30e9\u30fc\u300cResponseError: invalid digest format\u300d<\/a>\n\t\t\t\t\t\t\u5916\u90e8\u306eLLM\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u969b\u3001ollama.create\u3092\u5b9f\u884c\u3059\u308b\u3068\u3001\u300cResponseError:invalid digest format\u300d\u3068\u3044\u3046\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3059\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002 \u672c\u8a18\u4e8b\u3067\u306f\u3001\u3053\u306e\u30a8\u30e9…<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\n\nOllama\u306e\u4f7f\u3044\u65b9\u306b\u3064\u3044\u3066\u306f\u3001\u5225\u306e\u8a18\u4e8b\u3067\u8a73\u3057\u304f\u89e3\u8aac\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n
\t\t\t\n\t\t\t\t\n\t\t\t\t\t\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t![\"\"](\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/ollamapython-eyecatch-300x158.jpg\")
<\/figure><\/div>\t\t\t\t\t\n\t\t\t\t\t\tOllama\u3092Python\u3067\u4f7f\u3044\u305f\u3044\uff01\u30ed\u30fc\u30ab\u30ebLLM\u3092\u5feb\u9069\u306b\u52d5\u304b\u3059\uff01<\/a>\n\t\t\t\t\t\tollama-python\u306fPython\u74b0\u5883\u3067Ollama\u304c\u4f7f\u3048\u308b\u7121\u6599\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002 ollama-python\u3092\u5229\u7528\u3059\u308c\u3070\u3001\u30ed\u30fc\u30ab\u30ebLLM\u3092API\u3067\u7c21\u5358\u306b\u6d3b\u7528\u3067\u304d\u305f\u308a\u3001RAG\u3084\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3078\u306e\u7d71\u5408\u3082…<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div><\/div><\/div>\n\n\n\nSTEP<\/span><\/div>Wikipedia\u304b\u3089\u30c7\u30fc\u30bf\u3092\u53d6\u5f97<\/div>\n\u30d9\u30af\u30c8\u30eb\u30b9\u30c8\u30a2\u306b\u683c\u7d0d\u3059\u308b\u30c7\u30fc\u30bf\u3092Wikipedia\u304b\u3089\u53d6\u5f97\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
Wikipedia\u306f\u3001\u300e\u3082\u306e\u306e\u3051\u59eb\u300f<\/a>\u3001\u300e\u5343\u3068\u5343\u5c0b\u306e\u795e\u96a0\u3057\u300f<\/a>\u3001\u300e\u98a8\u306e\u8c37\u306e\u30ca\u30a6\u30b7\u30ab\u300f<\/a>\u306e\u30da\u30fc\u30b8\u3092\u6307\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
from langchain_community.document_loaders import WebBaseLoader\nfrom langchain.text_splitter import CharacterTextSplitter\n\nurls = [\n \"https:\/\/ja.wikipedia.org\/wiki\/%E3%82%82%E3%81%AE%E3%81%AE%E3%81%91%E5%A7%AB\",\n \"https:\/\/ja.wikipedia.org\/wiki\/%E5%8D%83%E3%81%A8%E5%8D%83%E5%B0%8B%E3%81%AE%E7%A5%9E%E9%9A%A0%E3%81%97\",\n \"https:\/\/ja.wikipedia.org\/wiki\/%E9%A2%A8%E3%81%AE%E8%B0%B7%E3%81%AE%E3%83%8A%E3%82%A6%E3%82%B7%E3%82%AB\",\n]\n\ndocs = [WebBaseLoader(url).load() for url in urls]\ndocs_list = [item for sublist in docs for item in sublist]\n\ntext_splitter = CharacterTextSplitter.from_tiktoken_encoder(\n separator = \"\\n\",\n chunk_size= 1000,\n chunk_overlap=100,\n)\n\ndoc_splits = text_splitter.split_documents(docs_list)\ndoc_splits[10]<\/code><\/pre>\n\n\n\n\u30b3\u30fc\u30c9\u306e\u8aac\u660e<\/span><\/div>\nWebBaseLoader(url).load()<\/span><\/p>\n\n\n\n