{"id":2877,"date":"2023-10-02T16:41:57","date_gmt":"2023-10-02T08:41:57","guid":{"rendered":"http:\/\/xinyixx.com\/?p=2877"},"modified":"2023-10-02T16:42:40","modified_gmt":"2023-10-02T08:42:40","slug":"langchain","status":"publish","type":"post","link":"https:\/\/www.xinyixx.com\/index.php\/2023\/10\/02\/langchain\/","title":{"rendered":"\u4f7f\u7528 LangChain \u5b9e\u73b0\u8bed\u4e49\u641c\u7d22"},"content":{"rendered":"<p>\u8bed\u4e49\u641c\u7d22\u662f LLM \u5de5\u7a0b\u4e2d\u7684\u91cd\u8981\u4e00\u73af\uff0c\u5b83\u53ef\u4ee5\u901a\u8fc7\u7279\u5f81\u5411\u91cf\u5bf9\u6d77\u91cf\u7684\u6587\u672c\u6570\u636e\u8fdb\u884c\u5339\u914d\uff0c\u4ece\u800c\u4f7f LLM \u201c\u7a81\u7834\u201d token \u6570\u91cf\u9650\u5236\uff0c\u83b7\u53d6\u66f4\u6d77\u91cf\u7684\u4fe1\u606f\u3002\u672c\u6587\u5c06\u4f7f\u7528 LangChain + Gradio + FAISS \u5bf9\u8fd9\u9879\u6280\u672f\u505a\u4e00\u4e2a\u57fa\u672c\u7684\u5b9e\u73b0\u3002\u4ee5\u4e0b\u662f ChatGPT \u5bf9 Embedding \u5411\u91cf\u641c\u7d22\u7684\u89e3\u91ca\uff0c\u548c cohere \u8bed\u4e49\u641c\u7d22\u7684\u6846\u67b6\u56fe\u3002<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Embedding \u5411\u91cf\u641c\u7d22\u662f\u4e00\u79cd\u57fa\u4e8e\u5411\u91cf\u7a7a\u95f4\u6a21\u578b\u7684\u641c\u7d22\u6280\u672f\uff0c\u5b83\u901a\u8fc7\u5c06\u6587\u672c\u8f6c\u5316\u4e3a\u5411\u91cf\u5f62\u5f0f\uff0c\u5b9e\u73b0\u6587\u672c\u76f8\u4f3c\u5ea6\u6bd4\u8f83\u6765\u8fdb\u884c\u641c\u7d22\u3002\u5177\u4f53\u6765\u8bf4\uff0cEmbedding \u5411\u91cf\u641c\u7d22\u4f1a\u9996\u5148\u5bf9\u6587\u672c\u8fdb\u884c\u9884\u5904\u7406\u548c\u7279\u5f81\u63d0\u53d6\uff0c\u5c06\u6587\u672c\u8f93\u51fa\u4e3a\u56fa\u5b9a\u957f\u5ea6\u7684\u5411\u91cf\uff0c\u7136\u540e\u5728\u5411\u91cf\u7a7a\u95f4\u4e2d\u5bf9\u8fd9\u4e9b\u5411\u91cf\u8fdb\u884c\u76f8\u4f3c\u5ea6\u5ea6\u91cf\uff0c\u627e\u5230\u4e0e\u67e5\u8be2\u5411\u91cf\u6700\u76f8\u4f3c\u7684\u6587\u672c\u5411\u91cf\uff0c\u4ece\u800c\u5b8c\u6210\u641c\u7d22\u4efb\u52a1\u3002\u8fd9\u79cd\u6280\u672f\u5e94\u7528\u5e7f\u6cdb\uff0c\u5982\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u793e\u4ea4\u7f51\u7edc\u5206\u6790\u3001\u56fe\u50cf\u641c\u7d22\u7b49\u9886\u57df\u90fd\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\u3002\u5176\u4f18\u70b9\u662f\u53ef\u4ee5\u5feb\u901f\u5730\u641c\u7d22\u51fa\u4e0e\u67e5\u8be2\u5411\u91cf\u6700\u76f8\u4f3c\u7684\u7ed3\u679c\uff0c\u540c\u65f6\u53ef\u4ee5\u5b9e\u73b0\u5bf9\u591a\u53c2\u6570\u67e5\u8be2\u7684\u9ad8\u6548\u5904\u7406\uff0c\u7f3a\u70b9\u662f\u5bf9\u4e8e\u6587\u672c\u542b\u4e49\u975e\u5e38\u590d\u6742\u7684\u60c5\u51b5\uff0c\u6316\u6398\u51fa\u7684\u8bed\u4e49\u4fe1\u606f\u53ef\u80fd\u6bd4\u8f83\u6709\u9650\uff0c\u5bb9\u6613\u51fa\u73b0\u7cbe\u5ea6\u95ee\u9898\u3002<\/p>\n<cite>\u2014gpt-3.5-turbo<\/cite><\/blockquote>\n\n\n\n<figure class=\"wp-block-image\" id=\"id4\"><noscript><img decoding=\"async\" src=\"https:\/\/aigc.ioclab.com\/_images\/eb-1.jpg\" alt=\"..\/_images\/eb-1.jpg\"><\/noscript><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" alt=\"..\/_images\/eb-1.jpg\" data-src=\"https:\/\/aigc.ioclab.com\/_images\/eb-1.jpg\" class=\" lazyload\"><figcaption class=\"wp-element-caption\">\u6765\u6e90\uff1a<a href=\"https:\/\/docs.cohere.ai\/docs\/semantic-search\" target=\"_blank\" rel=\"noopener\" title>cohere &#8211; Semantic Search<\/a><a href=\"https:\/\/aigc.ioclab.com\/llm-inference\/embedding.html#id4\"><\/a><\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">\u6570\u636e\u51c6\u5907<a href=\"https:\/\/aigc.ioclab.com\/llm-inference\/embedding.html#id2\"><\/a><\/h2>\n\n\n\n<p>\u4ee5&nbsp;<a href=\"https:\/\/github.com\/CornellNLP\/ConvoKit\">ConvoKit<\/a>&nbsp;\u4e2d\u7684\u8001\u53cb\u8bb0\u5168\u96c6\u6570\u636e\u4e3a\u4f8b\uff0c\u5c06\u6570\u636e\u4e0b\u8f7d\u5e76\u5904\u7406\u6210 TXT\u3001Excel\uff0c\u4fbf\u4e8e\u67e5\u770b\u548c\u540e\u7eed\u4f7f\u7528\u3002<\/p>\n\n\n\n<p>\u5b89\u88c5 ConvoKit\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>pip install convokit<\/code><\/pre>\n\n\n\n<p>\u5bfc\u5165\u5305\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from convokit import Corpus, download<\/code><\/pre>\n\n\n\n<p>\u4e0b\u8f7d\u6570\u636e\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>corpus = Corpus(download('friends-corpus'))\ncorpus.print_summary_stats()<\/code><\/pre>\n\n\n\n<p>\u5c06\u6570\u636e\u5199\u5165\u6587\u4ef6\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>for convo_index, convo in enumerate(corpus.iter_conversations()):\n\n    season = convo.meta&#91;'season']\n    episode = convo.meta&#91;'episode']\n    scene = convo.meta&#91;'scene']\n\n    self.write_txt_line(f\"- SEASON: {season}; \\n- EPISODE: {episode}; \\n- SCENE: {scene}\")\n\n    for utt_index, utt in enumerate(convo.iter_utterances()):\n\n        role = \"\"\n        content = \"\"\n\n        if utt.speaker.id == \"TRANSCRIPT_NOTE\":\n\n            role = \"TRANSCRIPT_NOTE\"\n            content = utt.meta&#91;'transcript_with_note']\n\n        else:\n\n            role = utt.speaker.id\n            content = utt.text\n\n        self.write_xlsx_line(&#91;season, episode, scene], role, content)\n\n        self.write_txt_line(f\"{role}: {content}\")<\/code><\/pre>\n\n\n\n<p>\u67e5\u770b\u6570\u636e\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-image\"><noscript><img decoding=\"async\" src=\"https:\/\/aigc.ioclab.com\/_images\/eb-2.png\" alt><\/noscript><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" alt data-src=\"https:\/\/aigc.ioclab.com\/_images\/eb-2.png\" class=\" lazyload\"><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><noscript><img decoding=\"async\" src=\"https:\/\/aigc.ioclab.com\/_images\/eb-3.png\" alt><\/noscript><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" alt data-src=\"https:\/\/aigc.ioclab.com\/_images\/eb-3.png\" class=\" lazyload\"><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Embedding \u6570\u636e\u5e93\u5efa\u7acb<a href=\"https:\/\/aigc.ioclab.com\/llm-inference\/embedding.html#embedding\"><\/a><\/h2>\n\n\n\n<p>\u6b64\u90e8\u5206\u5c06\u6570\u636e\u6587\u672c\u5206\u5272\uff0c\u4f7f\u7528 OpenAI Ada embedding \u6a21\u578b\u8f6c\u4e3a\u5411\u91cf\u5b58\u5165\u6570\u636e\u5e93\u3002<\/p>\n\n\n\n<p>\u5bfc\u5165\u4f9d\u8d56\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from langchain import FAISS\nfrom langchain.embeddings.openai import OpenAIEmbeddings\nfrom langchain.text_splitter import CharacterTextSplitter\nimport pickle<\/code><\/pre>\n\n\n\n<p>\u8bbe\u7f6e API Key\uff08openAI\u5b98\u7f51\u7533\u8bf7API\uff09\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import os\nos.environ&#91;'OPENAI_API_KEY'] = ''<\/code><\/pre>\n\n\n\n<p>\u7528\u5206\u5272\u7b26 \u201c\\n\\n\u201d \u6309\u5355\u53e5\u5206\u5272\u6587\u672c\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>IN_DIR = '.\/text_source'\nfilename = 'friends-corpus'\n\nwith open(f'.\/{IN_DIR}\/{filename}.txt') as f:\n    file = f.read()\ntext_splitter = CharacterTextSplitter(separator='\\n\\n', chunk_size=0, chunk_overlap=0)\ntexts = text_splitter.split_text(file)<\/code><\/pre>\n\n\n\n<p>\u6216\u7528\u5206\u5272\u7b26 \u201c\u2014\u201d \u6309\u5267\u672c\u573a\u666f\u5206\u5272\u6587\u672c\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>text_splitter = CharacterTextSplitter(separator='---', chunk_size=0, chunk_overlap=0)\ntexts = text_splitter.split_text(file)<\/code><\/pre>\n\n\n\n<p>\u4f7f\u7528 OpenAI \u7684 Ada \u6a21\u578b\u548c FAISS \u5efa\u7acb\u5411\u91cf\u6570\u636e\u5e93\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>OUT_DIR = '.\/vector_db_out'\nembeddings = OpenAIEmbeddings()\nvector_store = FAISS.from_texts(texts, embeddings)<\/code><\/pre>\n\n\n\n<p>\u4f7f\u7528 pickle \u5c06\u6570\u636e\u5e93\u5bf9\u8c61\u5e8f\u5217\u5316\u6210\u4e8c\u8fdb\u5236\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>with open(f\"{OUT_DIR}\/{filename}.pkl\", \"wb\") as f:\n    pickle.dump(vector_store, f)<\/code><\/pre>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\u67e5\u8be2\u4e0e Gradio UI<\/strong><\/h2>\n\n\n\n<p>\u901a\u8fc7 Gradio web UI \u6784\u5efa\u67e5\u8be2\u7f51\u9875\u3002<\/p>\n\n\n\n<p>\u91cd\u65b0\u5c06\u4e8c\u8fdb\u5236\u53cd\u5e8f\u5217\u5316\u4e3a Python \u5bf9\u8c61\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>with open(f\"{OUT_DIR}\/{filename}.pkl\", \"rb\") as f:\n    vector_store = pickle.load(f)<\/code><\/pre>\n\n\n\n<p>\u5b89\u88c5\u5e76\u5bfc\u5165 Gradio\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>pip install gradio<\/code><\/pre>\n\n\n\n<pre class=\"wp-block-code\"><code>import gradio as gr<\/code><\/pre>\n\n\n\n<p>\u67e5\u8be2\u51fd\u6570\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>def question_answer(self, question, num_result):\n\n    docs = vector_store.similarity_search_with_score(question, k=num_result)\n    result = &#91;&#91;str(round(score, 3)), doc.page_content] for doc, score in docs]\n\n    return result<\/code><\/pre>\n\n\n\n<p>\u5b9a\u4e49\u5e76\u542f\u52a8 Gradio\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>with gr.Blocks() as demo:\n    with gr.Row():\n        with gr.Column():\n            prompt = gr.Textbox(\n                label=\"Prompt\",\n            )\n            num_result = gr.Slider(\n                1, 200, 50,\n                step=1,\n                label=\"\u7ed3\u679c\u6570\",\n            )\n            submit_btn = gr.Button(\n                label=\"\u641c\u7d22\"\n            )\n        with gr.Column():\n            output = gr.Dataframe(\n                headers=&#91;\"Score\", \"Content\"],\n                datatype=&#91;\"str\", \"markdown\"]\n            )\n\n    submit_btn.click(\n        fn=question_answer,\n        inputs=&#91;\n            prompt, num_result\n        ],\n        outputs=output\n    )\n\ndemo.launch(\n    server_name=\"0.0.0.0\",\n    server_port=7010\n)<\/code><\/pre>\n\n\n\n<p><strong>\u6d4b\u8bd5\u7ed3\u679c<\/strong><\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u8001\u53cb\u8bb0\u3001\u539f\u795e\u3001\u8c46\u74e3\u7535\u5f71\u6570\u636e\u7684\u6d4b\u8bd5\uff0c\u4ec5\u4f9b\u5b66\u4e60\u53c2\u8003\uff0c\u6570\u636e\u5747\u6765\u81ea GitHub\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\" id=\"id5\"><noscript><img decoding=\"async\" src=\"https:\/\/aigc.ioclab.com\/_images\/eb-gradio-1.jpg\" alt=\"..\/_images\/eb-gradio-1.jpg\"><\/noscript><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" alt=\"..\/_images\/eb-gradio-1.jpg\" data-src=\"https:\/\/aigc.ioclab.com\/_images\/eb-gradio-1.jpg\" class=\" lazyload\"><figcaption class=\"wp-element-caption\">\u8001\u53cb\u8bb0\u573a\u666f<a href=\"https:\/\/aigc.ioclab.com\/llm-inference\/embedding.html#id5\"><\/a><\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image\" id=\"id6\"><noscript><img decoding=\"async\" src=\"https:\/\/aigc.ioclab.com\/_images\/eb-gradio-2.jpg\" alt=\"..\/_images\/eb-gradio-2.jpg\"><\/noscript><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" alt=\"..\/_images\/eb-gradio-2.jpg\" data-src=\"https:\/\/aigc.ioclab.com\/_images\/eb-gradio-2.jpg\" class=\" lazyload\"><figcaption class=\"wp-element-caption\">\u8001\u53cb\u8bb0\u8bed\u5f55<a href=\"https:\/\/aigc.ioclab.com\/llm-inference\/embedding.html#id6\"><\/a><\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image\" id=\"id7\"><noscript><img decoding=\"async\" src=\"https:\/\/aigc.ioclab.com\/_images\/eb-gradio-3.jpg\" alt=\"..\/_images\/eb-gradio-3.jpg\"><\/noscript><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" alt=\"..\/_images\/eb-gradio-3.jpg\" data-src=\"https:\/\/aigc.ioclab.com\/_images\/eb-gradio-3.jpg\" class=\" lazyload\"><figcaption class=\"wp-element-caption\">\u65c5\u884c\u8005\u6d3e\u8499\u5bf9\u8bdd<a href=\"https:\/\/aigc.ioclab.com\/llm-inference\/embedding.html#id7\"><\/a><\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image\" id=\"id8\"><noscript><img decoding=\"async\" src=\"https:\/\/aigc.ioclab.com\/_images\/eb-gradio-4.jpg\" alt=\"..\/_images\/eb-gradio-4.jpg\"><\/noscript><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" alt=\"..\/_images\/eb-gradio-4.jpg\" data-src=\"https:\/\/aigc.ioclab.com\/_images\/eb-gradio-4.jpg\" class=\" lazyload\"><figcaption class=\"wp-element-caption\">\u539f\u795e\u5168\u90e8\u914d\u97f3\u6587\u672c\uff08\u5305\u542b\u53d1\u8a00\u4eba\uff09<a href=\"https:\/\/aigc.ioclab.com\/llm-inference\/embedding.html#id8\"><\/a><\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image\" id=\"id9\"><noscript><img decoding=\"async\" src=\"https:\/\/aigc.ioclab.com\/_images\/eb-gradio-5.jpg\" alt=\"..\/_images\/eb-gradio-5.jpg\"><\/noscript><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" alt=\"..\/_images\/eb-gradio-5.jpg\" data-src=\"https:\/\/aigc.ioclab.com\/_images\/eb-gradio-5.jpg\" class=\" lazyload\"><figcaption class=\"wp-element-caption\">\u539f\u795e\u5168\u90e8\u914d\u97f3\u6587\u672c\uff08\u5bf9\u8bdd + Meta)<a href=\"https:\/\/aigc.ioclab.com\/llm-inference\/embedding.html#id9\"><\/a><\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image\" id=\"id10\"><noscript><img decoding=\"async\" src=\"https:\/\/aigc.ioclab.com\/_images\/eb-gradio-6.jpg\" alt=\"..\/_images\/eb-gradio-6.jpg\"><\/noscript><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" alt=\"..\/_images\/eb-gradio-6.jpg\" data-src=\"https:\/\/aigc.ioclab.com\/_images\/eb-gradio-6.jpg\" class=\" lazyload\"><figcaption class=\"wp-element-caption\">\u8c46\u74e3\u7535\u5f71\u7b80\u4ecb<\/figcaption><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>\u8bed\u4e49\u641c\u7d22\u662f LLM \u5de5\u7a0b\u4e2d\u7684\u91cd\u8981\u4e00\u73af\uff0c\u5b83\u53ef\u4ee5\u901a\u8fc7\u7279\u5f81\u5411\u91cf\u5bf9\u6d77\u91cf\u7684\u6587\u672c\u6570\u636e\u8fdb\u884c\u5339\u914d\uff0c\u4ece\u800c\u4f7f LLM \u201c\u7a81\u7834\u201d t [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[5,14],"tags":[73,50,69],"class_list":["post-2877","post","type-post","status-publish","format-standard","hentry","category-ai-learn","category-teacher","tag-ai","tag-building","tag-learning","entry"],"_links":{"self":[{"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/posts\/2877","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/comments?post=2877"}],"version-history":[{"count":0,"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/posts\/2877\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/media?parent=2877"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/categories?post=2877"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.xinyixx.com\/index.php\/wp-json\/wp\/v2\/tags?post=2877"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}