From 50a6e2d4400b3678d7d5aa4587589e5b304a4b7d Mon Sep 17 00:00:00 2001 From: liukl <1138493417@qq.com> Date: Fri, 7 Jul 2023 12:40:13 +0800 Subject: [PATCH 1/4] wechaty with langchain --- jekyll/_contributors/bestk.md | 13 ++ .../2023-07-07-wechaty-chat-with-langchain.md | 165 ++++++++++++++++++ .../image1.webp | Bin 0 -> 10066 bytes .../07-wechaty-chat-with-langchain/logo.webp | Bin 0 -> 7162 bytes jekyll/assets/contributors/bestk/avatar.webp | Bin 0 -> 10758 bytes 5 files changed, 178 insertions(+) create mode 100644 jekyll/_contributors/bestk.md create mode 100644 jekyll/_posts/2023-07-07-wechaty-chat-with-langchain.md create mode 100644 jekyll/assets/2023/07-wechaty-chat-with-langchain/image1.webp create mode 100644 jekyll/assets/2023/07-wechaty-chat-with-langchain/logo.webp create mode 100644 jekyll/assets/contributors/bestk/avatar.webp diff --git a/jekyll/_contributors/bestk.md b/jekyll/_contributors/bestk.md new file mode 100644 index 000000000..52dc7dd9c --- /dev/null +++ b/jekyll/_contributors/bestk.md @@ -0,0 +1,13 @@ +--- +name: bestk +site: https://github.com/bestk +avatar: /assets/contributors/bestk/avatar.webp +bio: java/node/python/golang +twitter: +--- + +普适程序员 + +## Contact me + +- Github: diff --git a/jekyll/_posts/2023-07-07-wechaty-chat-with-langchain.md b/jekyll/_posts/2023-07-07-wechaty-chat-with-langchain.md new file mode 100644 index 000000000..098b6f45b --- /dev/null +++ b/jekyll/_posts/2023-07-07-wechaty-chat-with-langchain.md @@ -0,0 +1,165 @@ +--- +title: "使用 wechaty langchain 部署私有 chatgpt" +author: bestk +categories: article +tags: + - chatgpt + - langchain +image: /assets/2023/07-wechaty-chat-with-langchain/logo.webp +--- + + +WeChaty 是一个基于 Node.js 的开源微信机器人框架，而 LangChain 是一个用于部署私有化 GPT 模型的工具。通过结合 WeChaty 和 LangChain，你可以创建一个私有化的 GPT 机器人，使其在微信平台上运行。 + +Setup： + +我们使用 `wechaty-puppet-wechat4u` + +```Text +package.json: +"wechaty": "^1.20.2", +"wechaty-puppet-wechat4u": "1.14.1" +"langchain": "^0.0.102", +"@pinecone-database/pinecone": "^0.1.6", +"pdf-parse": "^1.1.1", // 篇幅原因这里只演示 pdf +``` + +```javascript +import { WechatyBuilder} from 'wechaty' + +const wechaty = WechatyBuilder.build({ + name: 'wechaty-chatgpt', + puppet: 'wechaty-puppet-wechat4u', + puppetOptions: { + uos: true, + }, +}); + +``` + +设置 pinecone ,openai + +```bash +PROMPTLAYER_API_KEY=pl_... # PROMPTLAYER 是一个用于记录 api 调用时 prompt 与 response 的工具 +PINECONE_API_KEY=89e... +PINECONE_ENVIRONMENT=us-west4-gcp-free +PINECONE_INDEX=... +``` + + +以下代码为当接收到支持的文件对文件进行向量化成功后返回提示 + ```javascript + wechaty.on('message', async message => { + const contact = message.talker(); + currentAdminUser = contact.payload.alias === process.env.ADMIN + const receiver = message.listener(); + let content = message.text().trim(); + const room = message.room(); + const target = room || contact; + const isText = message.type() === wechaty.Message.Type.Text; + const isAudio = message.type() === wechaty.Message.Type.Audio; + const isFile = message.type() === wechaty.Message.Type.Attachment; + + if (isFile) { + const filebox = await message.toFileBox() + if (supportFileType(filebox.mediaType)) { + await saveFile(filebox) + await loadDocuments() + await send(room || contact, `${filebox.name} Embeddings 成功`) + return + } + } + }) + ``` + ![image1.webp](/assets/2023/07-wechaty-chat-with-langchain/image1.webp) + +### langchain 相关代码 +```javascript +import { PineconeClient } from "@pinecone-database/pinecone"; +import dotenv from 'dotenv'; +import { VectorDBQAChain } from "langchain/chains"; +import { DirectoryLoader } from "langchain/document_loaders"; +import { DocxLoader } from "langchain/document_loaders/fs/docx"; +import { PDFLoader } from "langchain/document_loaders/fs/pdf"; +import { TextLoader } from "langchain/document_loaders/fs/text"; +import { OpenAIEmbeddings } from "langchain/embeddings/openai"; +import { PromptLayerOpenAI } from "langchain/llms/openai"; +import { RecursiveCharacterTextSplitter } from "langchain/text_splitter"; +import { PineconeStore } from "langchain/vectorstores"; + +dotenv.config(); +const client = new PineconeClient(); + +await client.init({ + apiKey: process.env.PINECONE_API_KEY, + environment: process.env.PINECONE_ENVIRONMENT, +}); + +const pineconeIndex = client.Index(process.env.PINECONE_INDEX); + + +async function loadDocuments(directory = 'resource') { + console.log('loadDocuments...') + const loader = new DirectoryLoader(directory, + { + ".pdf": (path) => new PDFLoader(path), + ".txt": (path) => new TextLoader(path), + ".doc": (path) => new DocxLoader(path), + ".docx": (path) => new DocxLoader(path), + }); + // 将数据转成 document 对象，每个文件会作为一个 document + const rawDocuments = await loader.load(); + console.log(`documents: ${rawDocuments.length}`); + + // 初始化加载器 + const textSplitter = new RecursiveCharacterTextSplitter({ chunkSize: 500 }); + // 切割加载的 document + const splitDocs = await textSplitter.splitDocuments(rawDocuments); + + // 持久化数据 + // const docsearch = await Chroma.fromDocuments(splitDocs, embeddings, { collectionName: "private_doc" }); + // docsearch.persist(); + + + await PineconeStore.fromDocuments(splitDocs, new OpenAIEmbeddings(), { + pineconeIndex, + }); + console.log(`send to PineconeStore`); + +} + + +async function askDocument(question) { + const llm = new PromptLayerOpenAI({ plTags: ["langchain-requests", "chatbot"] }) + // 初始化 openai 的 embeddings 对象 + + // 加载数据 + const vectorStore = await PineconeStore.fromExistingIndex( + new OpenAIEmbeddings(), + { pineconeIndex } + ); + + /* Search the vector DB independently with meta filters */ + const chain = VectorDBQAChain.fromLLM(llm, vectorStore, { + k: 1, + returnSourceDocuments: true, + }); + const response = await chain.call({ query: question }); + console.log(response); + + // const response = await vectorStore.similaritySearch(question, 1); + // console.log(response); + + return response.text +} + +function supportFileType(mediaType) { + const types = ['doc', 'docx', , 'pdf', 'text'] + return types.filter(e => mediaType.includes(e)).length > 0 +} + + +export { askDocument, loadDocuments, supportFileType }; + + +``` diff --git a/jekyll/assets/2023/07-wechaty-chat-with-langchain/image1.webp b/jekyll/assets/2023/07-wechaty-chat-with-langchain/image1.webp new file mode 100644 index 0000000000000000000000000000000000000000..69384306cc4b242315fb6200874c9199af273b5f GIT binary patch literal 10066 zcmZ8{Q*b6sw{`4^ZQHgvv27<4n@?=pwr$(CHQ~gb;Q8MV=hUgcFS`1od)Hp8SFc93 zij1V>Pbv@)O$kvY4JB@3!GGGwiy*n6v`Ju{pn{2#d2$rRWkp43Jj@HIu$K1cs4~RO z9{%$pf}mBDoW8e@ySME^13<5{)g><^Ca6n<=4*j(;7a)WO^$zL&$!nZVE0+`TdWNH z+XD!6>c1g+00KWkzL)=Q0H3~A-gJP<7nbLsK;X7+>3$R7@WToS{x$w`H3u9QwEj5z zz5jaaq?i5dSJ6M^f97BRDODtN1!#Gzzt{W==nzU^n(0pkv_HB11-|qr^^tWmeZ&hJ zY6|*%=l?U7src*(aQG$lh4umb+`l!9H#8!e=x+daK4*Wm2TN`CZ+vfmf&iGmn}JN9 zMDOvthGh=t{a3)s&(4?rci?;dm(Y11C@>pf46OVDZd+~`-dF;GuK8PvK*K&0V<96c zXvE7!eI2@L2{)^{8rF-b*oK$sDf7?i_w+}mQ^OguAHGHFbBzWGGCg8r?_im|bwk%+ 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zt-;!UkT~A^L!P6r7S(w16tzrF;Ku`@o{CPMvnVneB)|6ox52}-jQ&A<(t(rw!!e08 zxWw71N&*!RHHEf&UileG3gP{WZ_uylNfEV>>unbW^J)HMCzCs-(f;w5;?o^R@54|h zw}&kb@HNvOf_ATNA@jEU$Lg1+rfpWt17s!Kf})ur~!D~KY$!0{}Zq;{)EPV2@66rLQzu-Bys#&KR|o7ck+3Z zYw+26&;AE)+os1eBQ`s*OBD+W)QD-^1=u0>^41j~sB$&XS@j&aD#qQXkW Date: Fri, 7 Jul 2023 07:26:52 +0000 Subject: [PATCH 2/4] wechaty with langchain --- .../2023-07-07-wechaty-chat-with-langchain.md | 180 +++++++++--------- 1 file changed, 90 insertions(+), 90 deletions(-) diff --git a/jekyll/_posts/2023-07-07-wechaty-chat-with-langchain.md b/jekyll/_posts/2023-07-07-wechaty-chat-with-langchain.md index 098b6f45b..ef7cee444 100644 --- a/jekyll/_posts/2023-07-07-wechaty-chat-with-langchain.md +++ b/jekyll/_posts/2023-07-07-wechaty-chat-with-langchain.md @@ -46,8 +46,8 @@ PINECONE_ENVIRONMENT=us-west4-gcp-free PINECONE_INDEX=... ``` - 以下代码为当接收到支持的文件对文件进行向量化成功后返回提示 + ```javascript wechaty.on('message', async message => { const contact = message.talker(); @@ -71,95 +71,95 @@ PINECONE_INDEX=... } }) ``` - ![image1.webp](/assets/2023/07-wechaty-chat-with-langchain/image1.webp) - -### langchain 相关代码 -```javascript -import { PineconeClient } from "@pinecone-database/pinecone"; -import dotenv from 'dotenv'; -import { VectorDBQAChain } from "langchain/chains"; -import { DirectoryLoader } from "langchain/document_loaders"; -import { DocxLoader } from "langchain/document_loaders/fs/docx"; -import { PDFLoader } from "langchain/document_loaders/fs/pdf"; -import { TextLoader } from "langchain/document_loaders/fs/text"; -import { OpenAIEmbeddings } from "langchain/embeddings/openai"; -import { PromptLayerOpenAI } from "langchain/llms/openai"; -import { RecursiveCharacterTextSplitter } from "langchain/text_splitter"; -import { PineconeStore } from "langchain/vectorstores"; - -dotenv.config(); -const client = new PineconeClient(); - -await client.init({ - apiKey: process.env.PINECONE_API_KEY, - environment: process.env.PINECONE_ENVIRONMENT, -}); - -const pineconeIndex = client.Index(process.env.PINECONE_INDEX); - - -async function loadDocuments(directory = 'resource') { - console.log('loadDocuments...') - const loader = new DirectoryLoader(directory, - { - ".pdf": (path) => new PDFLoader(path), - ".txt": (path) => new TextLoader(path), - ".doc": (path) => new DocxLoader(path), - ".docx": (path) => new DocxLoader(path), - }); - // 将数据转成 document 对象，每个文件会作为一个 document - const rawDocuments = await loader.load(); - console.log(`documents: ${rawDocuments.length}`); - - // 初始化加载器 - const textSplitter = new RecursiveCharacterTextSplitter({ chunkSize: 500 }); - // 切割加载的 document - const splitDocs = await textSplitter.splitDocuments(rawDocuments); - - // 持久化数据 - // const docsearch = await Chroma.fromDocuments(splitDocs, embeddings, { collectionName: "private_doc" }); - // docsearch.persist(); - - - await PineconeStore.fromDocuments(splitDocs, new OpenAIEmbeddings(), { - pineconeIndex, - }); - console.log(`send to PineconeStore`); -} +![image1.webp](/assets/2023/07-wechaty-chat-with-langchain/image1.webp) +langchain 相关代码 -async function askDocument(question) { - const llm = new PromptLayerOpenAI({ plTags: ["langchain-requests", "chatbot"] }) - // 初始化 openai 的 embeddings 对象 - - // 加载数据 - const vectorStore = await PineconeStore.fromExistingIndex( - new OpenAIEmbeddings(), - { pineconeIndex } - ); - - /* Search the vector DB independently with meta filters */ - const chain = VectorDBQAChain.fromLLM(llm, vectorStore, { - k: 1, - returnSourceDocuments: true, - }); - const response = await chain.call({ query: question }); - console.log(response); - - // const response = await vectorStore.similaritySearch(question, 1); - // console.log(response); - - return response.text -} - -function supportFileType(mediaType) { - const types = ['doc', 'docx', , 'pdf', 'text'] - return types.filter(e => mediaType.includes(e)).length > 0 -} - - -export { askDocument, loadDocuments, supportFileType }; - - -``` + ```javascript + import { PineconeClient } from "@pinecone-database/pinecone"; + import dotenv from 'dotenv'; + import { VectorDBQAChain } from "langchain/chains"; + import { DirectoryLoader } from "langchain/document_loaders"; + import { DocxLoader } from "langchain/document_loaders/fs/docx"; + import { PDFLoader } from "langchain/document_loaders/fs/pdf"; + import { TextLoader } from "langchain/document_loaders/fs/text"; + import { OpenAIEmbeddings } from "langchain/embeddings/openai"; + import { PromptLayerOpenAI } from "langchain/llms/openai"; + import { RecursiveCharacterTextSplitter } from "langchain/text_splitter"; + import { PineconeStore } from "langchain/vectorstores"; + + dotenv.config(); + const client = new PineconeClient(); + + await client.init({ + apiKey: process.env.PINECONE_API_KEY, + environment: process.env.PINECONE_ENVIRONMENT, + }); + + const pineconeIndex = client.Index(process.env.PINECONE_INDEX); + + + async function loadDocuments(directory = 'resource') { + console.log('loadDocuments...') + const loader = new DirectoryLoader(directory, + { + ".pdf": (path) => new PDFLoader(path), + ".txt": (path) => new TextLoader(path), + ".doc": (path) => new DocxLoader(path), + ".docx": (path) => new DocxLoader(path), + }); + // 将数据转成 document 对象，每个文件会作为一个 document + const rawDocuments = await loader.load(); + console.log(`documents: ${rawDocuments.length}`); + + // 初始化加载器 + const textSplitter = new RecursiveCharacterTextSplitter({ chunkSize: 500 }); + // 切割加载的 document + const splitDocs = await textSplitter.splitDocuments(rawDocuments); + + // 持久化数据 + // const docsearch = await Chroma.fromDocuments(splitDocs, embeddings, { collectionName: "private_doc" }); + // docsearch.persist(); + + + await PineconeStore.fromDocuments(splitDocs, new OpenAIEmbeddings(), { + pineconeIndex, + }); + console.log(`send to PineconeStore`); + + } + + + async function askDocument(question) { + const llm = new PromptLayerOpenAI({ plTags: ["langchain-requests", "chatbot"] }) + // 初始化 openai 的 embeddings 对象 + + // 加载数据 + const vectorStore = await PineconeStore.fromExistingIndex( + new OpenAIEmbeddings(), + { pineconeIndex } + ); + + /* Search the vector DB independently with meta filters */ + const chain = VectorDBQAChain.fromLLM(llm, vectorStore, { + k: 1, + returnSourceDocuments: true, + }); + const response = await chain.call({ query: question }); + console.log(response); + + // const response = await vectorStore.similaritySearch(question, 1); + // console.log(response); + + return response.text + } + + function supportFileType(mediaType) { + const types = ['doc', 'docx', , 'pdf', 'text'] + return types.filter(e => mediaType.includes(e)).length > 0 + } + + + export { askDocument, loadDocuments, supportFileType }; + ``` From 2ce2d6c380ea7f74800e4459a5922156b4f6add5 Mon Sep 17 00:00:00 2001 From: ECH2O <1138493417@qq.com> Date: Fri, 7 Jul 2023 07:27:03 +0000 Subject: [PATCH 3/4] 0.11.48 --- package.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/package.json b/package.json index 35ae13c42..93b4f6a52 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "wechaty-jekyll", - "version": "0.11.47", + "version": "0.11.48", "description": "Wechaty Official Website for News, Blogs, Contributor Profiles", "private": true, "type": "module", From 63fa135b3aca701d7ed845664584a399e681dd44 Mon Sep 17 00:00:00 2001 From: ECH2O <1138493417@qq.com> Date: Fri, 7 Jul 2023 07:27:47 +0000 Subject: [PATCH 4/4] 0.11.49 --- package.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/package.json b/package.json index 93b4f6a52..074a33309 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "wechaty-jekyll", - "version": "0.11.48", + "version": "0.11.49", "description": "Wechaty Official Website for News, Blogs, Contributor Profiles", "private": true, "type": "module",