diff --git a/.env.template b/.env.template index ff6d3cdbf..6b6021392 100644 --- a/.env.template +++ b/.env.template @@ -50,4 +50,22 @@ DISABLE_FAST_LINK= # (optional) # Default: 1 # If your project is not deployed on Vercel, set this value to 1. -NEXT_PUBLIC_ENABLE_NODEJS_PLUGIN=1 \ No newline at end of file +NEXT_PUBLIC_ENABLE_NODEJS_PLUGIN=1 + +# (optional) +# Default: Empty +# If you want to enable RAG, set this value to 1. +NEXT_PUBLIC_ENABLE_RAG= + +# (optional) +# Default: Empty +# Model used when RAG vectorized data. +RAG_EMBEDDING_MODEL=text-embedding-ada-002 + +# Configuration is required when turning on RAG. +# Default: Empty +QDRANT_URL= + +# Configuration is required when turning on RAG. +# Default: Empty +QDRANT_API_KEY= \ No newline at end of file diff --git a/README.md b/README.md index 60ddc1374..7e82c2404 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ > [!WARNING] > 本项目插件功能基于 [OpenAI API 函数调用](https://platform.openai.com/docs/guides/function-calling) 功能实现，转发 GitHub Copilot 接口或类似实现的模拟接口并不能正常调用插件功能！ -![cover](./docs/images/gpt-vision-example.jpg) +![cover](./docs/images/rag-example.jpg) ![plugin-example](./docs/images/plugin-example.png) @@ -35,6 +35,9 @@ ## 主要功能 +- RAG 功能 （预览） + - 配置请参考文档[RAG 功能配置说明](./docs/rag-cn.md) + - 除插件工具外，与原项目保持一致 [ChatGPT-Next-Web 主要功能](https://github.com/Yidadaa/ChatGPT-Next-Web#主要功能) - 支持 OpenAI TTS（文本转语音）https://github.com/Hk-Gosuto/ChatGPT-Next-Web-LangChain/issues/208 @@ -142,7 +145,7 @@ - [x] 支持语音输入 https://github.com/Hk-Gosuto/ChatGPT-Next-Web-LangChain/issues/208 -- [ ] 支持其他类型文件上传 https://github.com/Hk-Gosuto/ChatGPT-Next-Web-LangChain/issues/77 +- [x] 支持其他类型文件上传 https://github.com/Hk-Gosuto/ChatGPT-Next-Web-LangChain/issues/77 - [ ] 支持 Azure Storage https://github.com/Hk-Gosuto/ChatGPT-Next-Web-LangChain/issues/217 @@ -295,11 +298,9 @@ docker run -d -p 3000:3000 \ | [简体中文](./docs/synchronise-chat-logs-cn.md) | [English](./docs/synchronise-chat-logs-en.md) | [Italiano](./docs/synchronise-chat-logs-es.md) | [日本語](./docs/synchronise-chat-logs-ja.md) | [한국어](./docs/synchronise-chat-logs-ko.md) -## 贡献者 +## Star History - - - +[![Star History Chart](https://api.star-history.com/svg?repos=Hk-Gosuto/ChatGPT-Next-Web-LangChain&type=Date)](https://star-history.com/#Hk-Gosuto/ChatGPT-Next-Web-LangChain&Date) ## 捐赠 diff --git a/app/api/langchain-tools/rag_search.ts b/app/api/langchain-tools/rag_search.ts index eaf86fd60..16755ea39 100644 --- a/app/api/langchain-tools/rag_search.ts +++ b/app/api/langchain-tools/rag_search.ts @@ -7,6 +7,8 @@ import { RunnableSequence } from "@langchain/core/runnables"; import { StringOutputParser } from "@langchain/core/output_parsers"; import { Pinecone } from "@pinecone-database/pinecone"; import { PineconeStore } from "@langchain/pinecone"; +import { getServerSideConfig } from "@/app/config/server"; +import { QdrantVectorStore } from "@langchain/community/vectorstores/qdrant"; export class RAGSearch extends Tool { static lc_name() { @@ -34,21 +36,32 @@ export class RAGSearch extends Tool { /** @ignore */ async _call(inputs: string, runManager?: CallbackManagerForToolRun) { - const pinecone = new Pinecone(); - const pineconeIndex = pinecone.Index(process.env.PINECONE_INDEX!); - const vectorStore = await PineconeStore.fromExistingIndex(this.embeddings, { - pineconeIndex, - }); + const serverConfig = getServerSideConfig(); + // const pinecone = new Pinecone(); + // const pineconeIndex = pinecone.Index(serverConfig.pineconeIndex!); + // const vectorStore = await PineconeStore.fromExistingIndex(this.embeddings, { + // pineconeIndex, + // }); + const vectorStore = await QdrantVectorStore.fromExistingCollection( + this.embeddings, + { + url: process.env.QDRANT_URL, + apiKey: process.env.QDRANT_API_KEY, + collectionName: this.sessionId, + }, + ); let context; - const returnCunt = process.env.RAG_RETURN_COUNT - ? parseInt(process.env.RAG_RETURN_COUNT, 10) + const returnCunt = serverConfig.ragReturnCount + ? parseInt(serverConfig.ragReturnCount, 10) : 4; - const results = await vectorStore.similaritySearch(inputs, returnCunt, { - sessionId: this.sessionId, - }); + console.log("[rag-search]", { inputs, returnCunt }); + // const results = await vectorStore.similaritySearch(inputs, returnCunt, { + // sessionId: this.sessionId, + // }); + const results = await vectorStore.similaritySearch(inputs, returnCunt); context = formatDocumentsAsString(results); - console.log("[rag-search]", context); + console.log("[rag-search]", { context }); return context; // const input = `Text:${context}\n\nQuestion:${inputs}\n\nI need you to answer the question based on the text.`; diff --git a/app/api/langchain/rag/search/route.ts b/app/api/langchain/rag/search/route.ts index 7eb7e0f1b..8c5aae6ea 100644 --- a/app/api/langchain/rag/search/route.ts +++ b/app/api/langchain/rag/search/route.ts @@ -4,6 +4,7 @@ import { ACCESS_CODE_PREFIX, ModelProvider } from "@/app/constant"; import { OpenAIEmbeddings } from "@langchain/openai"; import { Pinecone } from "@pinecone-database/pinecone"; import { PineconeStore } from "@langchain/pinecone"; +import { QdrantVectorStore } from "@langchain/community/vectorstores/qdrant"; import { getServerSideConfig } from "@/app/config/server"; interface RequestBody { @@ -27,26 +28,40 @@ async function handle(req: NextRequest) { const reqBody: RequestBody = await req.json(); const authToken = req.headers.get("Authorization") ?? ""; const token = authToken.trim().replaceAll("Bearer ", "").trim(); - - const pinecone = new Pinecone(); - const pineconeIndex = pinecone.Index(process.env.PINECONE_INDEX!); + const serverConfig = getServerSideConfig(); + // const pinecone = new Pinecone(); + // const pineconeIndex = pinecone.Index(serverConfig.pineconeIndex!); const apiKey = getOpenAIApiKey(token); const baseUrl = getOpenAIBaseUrl(reqBody.baseUrl); const embeddings = new OpenAIEmbeddings( { - modelName: process.env.RAG_EMBEDDING_MODEL ?? "text-embedding-3-large", + modelName: serverConfig.ragEmbeddingModel ?? "text-embedding-3-large", openAIApiKey: apiKey, }, { basePath: baseUrl }, ); - const vectorStore = await PineconeStore.fromExistingIndex(embeddings, { - pineconeIndex, - }); - const results = await vectorStore.similaritySearch(reqBody.query, 1, { - sessionId: reqBody.sessionId, - }); - console.log(results); - return NextResponse.json(results, { + // const vectorStore = await PineconeStore.fromExistingIndex(embeddings, { + // pineconeIndex, + // }); + // const results = await vectorStore.similaritySearch(reqBody.query, 4, { + // sessionId: reqBody.sessionId, + // }); + const vectorStore = await QdrantVectorStore.fromExistingCollection( + embeddings, + { + url: process.env.QDRANT_URL, + apiKey: process.env.QDRANT_API_KEY, + collectionName: reqBody.sessionId, + }, + ); + const returnCunt = serverConfig.ragReturnCount + ? parseInt(serverConfig.ragReturnCount, 10) + : 4; + const response = await vectorStore.similaritySearch( + reqBody.query, + returnCunt, + ); + return NextResponse.json(response, { status: 200, }); } catch (e) { diff --git a/app/api/langchain/rag/store/route.ts b/app/api/langchain/rag/store/route.ts index cbc14a3f7..9ded033d9 100644 --- a/app/api/langchain/rag/store/route.ts +++ b/app/api/langchain/rag/store/route.ts @@ -20,6 +20,7 @@ import { FileInfo } from "@/app/client/platforms/utils"; import mime from "mime"; import LocalFileStorage from "@/app/utils/local_file_storage"; import S3FileStorage from "@/app/utils/s3_file_storage"; +import { QdrantVectorStore } from "@langchain/community/vectorstores/qdrant"; interface RequestBody { sessionId: string; @@ -80,16 +81,17 @@ async function handle(req: NextRequest) { const apiKey = getOpenAIApiKey(token); const baseUrl = getOpenAIBaseUrl(reqBody.baseUrl); const serverConfig = getServerSideConfig(); - const pinecone = new Pinecone(); - const pineconeIndex = pinecone.Index(process.env.PINECONE_INDEX!); + // const pinecone = new Pinecone(); + // const pineconeIndex = pinecone.Index(serverConfig.pineconeIndex!); const embeddings = new OpenAIEmbeddings( { - modelName: process.env.RAG_EMBEDDING_MODEL ?? "text-embedding-3-large", + modelName: serverConfig.ragEmbeddingModel, openAIApiKey: apiKey, }, { basePath: baseUrl }, ); - //https://js.langchain.com/docs/integrations/vectorstores/pinecone + // https://js.langchain.com/docs/integrations/vectorstores/pinecone + // https://js.langchain.com/docs/integrations/vectorstores/qdrant // process files for (let i = 0; i < reqBody.fileInfos.length; i++) { const fileInfo = reqBody.fileInfos[i]; @@ -121,22 +123,33 @@ async function handle(req: NextRequest) { }; }); // split - const chunkSize = process.env.RAG_CHUNK_SIZE - ? parseInt(process.env.RAG_CHUNK_SIZE, 10) + const chunkSize = serverConfig.ragChunkSize + ? parseInt(serverConfig.ragChunkSize, 10) : 2000; - const chunkOverlap = process.env.RAG_CHUNK_OVERLAP - ? parseInt(process.env.RAG_CHUNK_OVERLAP, 10) + const chunkOverlap = serverConfig.ragChunkOverlap + ? parseInt(serverConfig.ragChunkOverlap, 10) : 200; const textSplitter = new RecursiveCharacterTextSplitter({ chunkSize: chunkSize, chunkOverlap: chunkOverlap, }); const splits = await textSplitter.splitDocuments(docs); - // remove history - await PineconeStore.fromDocuments(splits, embeddings, { - pineconeIndex, - maxConcurrency: 5, - }); + const vectorStore = await QdrantVectorStore.fromDocuments( + splits, + embeddings, + { + url: process.env.QDRANT_URL, + apiKey: process.env.QDRANT_API_KEY, + collectionName: reqBody.sessionId, + }, + ); + // await PineconeStore.fromDocuments(splits, embeddings, { + // pineconeIndex, + // maxConcurrency: 5, + // }); + // const vectorStore = await PineconeStore.fromExistingIndex(embeddings, { + // pineconeIndex, + // }); } return NextResponse.json( { diff --git a/app/client/api.ts b/app/client/api.ts index 814befd9f..77759b318 100644 --- a/app/client/api.ts +++ b/app/client/api.ts @@ -115,7 +115,7 @@ export abstract class LLMApi { abstract speech(options: SpeechOptions): Promise; abstract transcription(options: TranscriptionOptions): Promise; abstract toolAgentChat(options: AgentChatOptions): Promise; - abstract createRAGSore(options: CreateRAGStoreOptions): Promise; + abstract createRAGStore(options: CreateRAGStoreOptions): Promise; abstract usage(): Promise; abstract models(): Promise; } diff --git a/app/client/platforms/google.ts b/app/client/platforms/google.ts index 4f5f536d5..ffc1e977f 100644 --- a/app/client/platforms/google.ts +++ b/app/client/platforms/google.ts @@ -20,7 +20,7 @@ import { } from "@/app/utils"; export class GeminiProApi implements LLMApi { - createRAGSore(options: CreateRAGStoreOptions): Promise { + createRAGStore(options: CreateRAGStoreOptions): Promise { throw new Error("Method not implemented."); } transcription(options: TranscriptionOptions): Promise { diff --git a/app/client/platforms/openai.ts b/app/client/platforms/openai.ts index ef383fa00..0ff9ad706 100644 --- a/app/client/platforms/openai.ts +++ b/app/client/platforms/openai.ts @@ -363,7 +363,7 @@ export class ChatGPTApi implements LLMApi { } } - async createRAGSore(options: CreateRAGStoreOptions): Promise { + async createRAGStore(options: CreateRAGStoreOptions): Promise { try { const accessStore = useAccessStore.getState(); const isAzure = accessStore.provider === ServiceProvider.Azure; @@ -373,7 +373,7 @@ export class ChatGPTApi implements LLMApi { fileInfos: options.fileInfos, baseUrl: baseUrl, }; - console.log("[Request] openai payload: ", requestPayload); + console.log("[Request] rag store payload: ", requestPayload); const controller = new AbortController(); options.onController?.(controller); let path = "/api/langchain/rag/store"; diff --git a/app/components/chat.tsx b/app/components/chat.tsx index 4c63393f8..7ddb929ad 100644 --- a/app/components/chat.tsx +++ b/app/components/chat.tsx @@ -509,14 +509,13 @@ export function ChatActions(props: { const [showUploadImage, setShowUploadImage] = useState(false); const [showUploadFile, setShowUploadFile] = useState(false); + const accessStore = useAccessStore(); useEffect(() => { const show = isVisionModel(currentModel); setShowUploadImage(show); - const serverConfig = getServerSideConfig(); - setShowUploadFile( - serverConfig.isEnableRAG && !show && isSupportRAGModel(currentModel), - ); + const isEnableRAG = !!process.env.NEXT_PUBLIC_ENABLE_RAG; + setShowUploadFile(isEnableRAG && !show && isSupportRAGModel(currentModel)); if (!show) { props.setAttachImages([]); props.setUploading(false); @@ -1039,7 +1038,9 @@ function _Chat() { setIsLoading(true); const textContent = getMessageTextContent(userMessage); const images = getMessageImages(userMessage); - chatStore.onUserInput(textContent, images).then(() => setIsLoading(false)); + chatStore + .onUserInput(textContent, images, userMessage.fileInfos) + .then(() => setIsLoading(false)); inputRef.current?.focus(); }; diff --git a/app/config/server.ts b/app/config/server.ts index 9ee6597b8..7a8228b9f 100644 --- a/app/config/server.ts +++ b/app/config/server.ts @@ -113,5 +113,10 @@ export const getServerSideConfig = () => { !process.env.S3_ENDPOINT, isEnableRAG: !!process.env.NEXT_PUBLIC_ENABLE_RAG, + ragEmbeddingModel: + process.env.RAG_EMBEDDING_MODEL ?? "text-embedding-3-large", + ragChunkSize: process.env.RAG_CHUNK_SIZE ?? "2000", + ragChunkOverlap: process.env.RAG_CHUNK_OVERLAP ?? "200", + ragReturnCount: process.env.RAG_RETURN_COUNT ?? "4", }; }; diff --git a/app/store/access.ts b/app/store/access.ts index 17fb0f94c..75442a6a9 100644 --- a/app/store/access.ts +++ b/app/store/access.ts @@ -43,6 +43,7 @@ const DEFAULT_ACCESS_STATE = { disableGPT4: false, disableFastLink: false, customModels: "", + isEnableRAG: false, }; export const useAccessStore = createPersistStore( @@ -55,6 +56,10 @@ export const useAccessStore = createPersistStore( return get().needCode; }, + isEnableRAG() { + return ensure(get(), ["isEnableRAG"]); + }, + isValidOpenAI() { return ensure(get(), ["openaiApiKey"]); }, diff --git a/app/store/chat.ts b/app/store/chat.ts index 48a43e330..b46ef2819 100644 --- a/app/store/chat.ts +++ b/app/store/chat.ts @@ -376,88 +376,96 @@ export const useChatStore = createPersistStore( }); var api: ClientApi; api = new ClientApi(ModelProvider.GPT); + const isEnableRAG = !!process.env.NEXT_PUBLIC_ENABLE_RAG; if ( config.pluginConfig.enable && session.mask.usePlugins && - (allPlugins.length > 0 || !!process.env.NEXT_PUBLIC_ENABLE_RAG) && + (allPlugins.length > 0 || isEnableRAG) && modelConfig.model.startsWith("gpt") && modelConfig.model != "gpt-4-vision-preview" ) { console.log("[ToolAgent] start"); const pluginToolNames = allPlugins.map((m) => m.toolName); - if (!!process.env.NEXT_PUBLIC_ENABLE_RAG) - pluginToolNames.push("rag-search"); - if (attachFiles && attachFiles.length > 0) { - console.log("crete rag store"); - await api.llm.createRAGSore({ + if (isEnableRAG) pluginToolNames.push("rag-search"); + const agentCall = () => { + api.llm.toolAgentChat({ chatSessionId: session.id, - fileInfos: attachFiles, - }); - } - api.llm.toolAgentChat({ - chatSessionId: session.id, - messages: sendMessages, - config: { ...modelConfig, stream: true }, - agentConfig: { ...pluginConfig, useTools: pluginToolNames }, - onUpdate(message) { - botMessage.streaming = true; - if (message) { - botMessage.content = message; - } - get().updateCurrentSession((session) => { - session.messages = session.messages.concat(); - }); - }, - onToolUpdate(toolName, toolInput) { - botMessage.streaming = true; - if (toolName && toolInput) { - botMessage.toolMessages!.push({ - toolName, - toolInput, + messages: sendMessages, + config: { ...modelConfig, stream: true }, + agentConfig: { ...pluginConfig, useTools: pluginToolNames }, + onUpdate(message) { + botMessage.streaming = true; + if (message) { + botMessage.content = message; + } + get().updateCurrentSession((session) => { + session.messages = session.messages.concat(); }); - } - get().updateCurrentSession((session) => { - session.messages = session.messages.concat(); - }); - }, - onFinish(message) { - botMessage.streaming = false; - if (message) { - botMessage.content = message; - get().onNewMessage(botMessage); - } - ChatControllerPool.remove(session.id, botMessage.id); - }, - onError(error) { - const isAborted = error.message.includes("aborted"); - botMessage.content += - "\n\n" + - prettyObject({ - error: true, - message: error.message, + }, + onToolUpdate(toolName, toolInput) { + botMessage.streaming = true; + if (toolName && toolInput) { + botMessage.toolMessages!.push({ + toolName, + toolInput, + }); + } + get().updateCurrentSession((session) => { + session.messages = session.messages.concat(); }); - botMessage.streaming = false; - userMessage.isError = !isAborted; - botMessage.isError = !isAborted; - get().updateCurrentSession((session) => { - session.messages = session.messages.concat(); - }); - ChatControllerPool.remove( - session.id, - botMessage.id ?? messageIndex, - ); + }, + onFinish(message) { + botMessage.streaming = false; + if (message) { + botMessage.content = message; + get().onNewMessage(botMessage); + } + ChatControllerPool.remove(session.id, botMessage.id); + }, + onError(error) { + const isAborted = error.message.includes("aborted"); + botMessage.content += + "\n\n" + + prettyObject({ + error: true, + message: error.message, + }); + botMessage.streaming = false; + userMessage.isError = !isAborted; + botMessage.isError = !isAborted; + get().updateCurrentSession((session) => { + session.messages = session.messages.concat(); + }); + ChatControllerPool.remove( + session.id, + botMessage.id ?? messageIndex, + ); - console.error("[Chat] failed ", error); - }, - onController(controller) { - // collect controller for stop/retry - ChatControllerPool.addController( - session.id, - botMessage.id ?? messageIndex, - controller, - ); - }, - }); + console.error("[Chat] failed ", error); + }, + onController(controller) { + // collect controller for stop/retry + ChatControllerPool.addController( + session.id, + botMessage.id ?? messageIndex, + controller, + ); + }, + }); + }; + if (attachFiles && attachFiles.length > 0) { + await api.llm + .createRAGStore({ + chatSessionId: session.id, + fileInfos: attachFiles, + }) + .then(() => { + console.log("[RAG]", "Vector db created"); + agentCall(); + }); + } else { + agentCall(); + } } else { if (modelConfig.model.startsWith("gemini")) { api = new ClientApi(ModelProvider.GeminiPro); diff --git a/docs/images/rag-example.jpg b/docs/images/rag-example.jpg new file mode 100644 index 000000000..920b81733 Binary files /dev/null and b/docs/images/rag-example.jpg differ diff --git a/docs/images/rag.png b/docs/images/rag.png new file mode 100644 index 000000000..a28904e55 Binary files /dev/null and b/docs/images/rag.png differ diff --git a/docs/rag-cn.md b/docs/rag-cn.md new file mode 100644 index 000000000..2183f2495 --- /dev/null +++ b/docs/rag-cn.md @@ -0,0 +1,74 @@ +# RAG 功能配置说明 + +> [!WARNING] +> 该功能目前在预览阶段，可能会有较多的问题，请在仔细阅读本文档后再使用。 + +## 效果图 + +![example](./images/rag-example.jpg) + +## 原理 + +![example](./images/rag.png) + +## 已知问题 + +- 由于接口中使用 nodejs 运行时，在 vercel 环境下接口可能会超时，建议使用 docker 部署 +- 已开启的插件可能会影响到数据检索，可以关闭部分插件后再使用 +- 已创建的向量数据不会删除 +- 同一聊天窗口内即使“清除聊天”也可以访问已经上传的文件内容 +- RAG 插件需要一定的话术来让模型触发查询 +- 上传文件部分的 UI 交互可能会变更 +- 暂不支持文档总结 + +## 支持的文件类型 + +- txt +- md +- pdf +- docx +- csv +- json +- srt +- mp3 (基于OpenAIWhisper) + +## 配置 + +1. 登录 https://cloud.qdrant.io 并创建一个账户 +2. 在控制面板中创建一个 Cluster +3. 获取 Cluster 的 Cluster URL 和 API Key +4. 完善下面的环境变量配置后即可使用 + +## 环境变量 + +### `NEXT_PUBLIC_ENABLE_RAG` + +如果你想启用 RAG 功能，将此环境变量设置为 1 即可。 + +### `QDRANT_URL` + +qdrant 服务的 Cluster URL。 + +### `QDRANT_API_KEY` + +qdrant 服务的 ApiKey。 + +### `RAG_CHUNK_SIZE` （可选） + +分割后文档的最大大小（按字符数计算），默认：2000。 + +### `RAG_CHUNK_OVERLAP` （可选） + +分割文档时块重叠数量，默认：200。 + +### `RAG_RETURN_COUNT` （可选） + +检索时返回的文档数量，默认：4。 + +### `RAG_EMBEDDING_MODEL` （可选） + +向量化时使用的向量模型，默认：text-embedding-3-large。 +可选项： +- text-embedding-3-small +- text-embedding-3-large +- text-embedding-ada-002 \ No newline at end of file diff --git a/package.json b/package.json index 5a9e85b7a..eea27d300 100644 --- a/package.json +++ b/package.json @@ -27,6 +27,7 @@ "@langchain/pinecone": "^0.0.4", "@next/third-parties": "^14.1.0", "@pinecone-database/pinecone": "^2.2.0", + "@qdrant/js-client-rest": "^1.8.2", "@svgr/webpack": "^6.5.1", "@vercel/analytics": "^0.1.11", "@vercel/speed-insights": "^1.0.2", diff --git a/yarn.lock b/yarn.lock index 49b84a520..93529d3a1 100644 --- a/yarn.lock +++ b/yarn.lock @@ -1717,6 +1717,11 @@ resolved "https://registry.yarnpkg.com/@eslint/js/-/js-8.57.0.tgz#a5417ae8427873f1dd08b70b3574b453e67b5f7f" integrity sha512-Ys+3g2TaW7gADOJzPt83SJtCDhMjndcDMFVQ/Tj9iA1BfJzFKD9mAUXT3OenpuPHbI6P/myECxRJrofUsDx/5g== +"@fastify/busboy@^2.0.0": + version "2.1.1" + resolved "https://registry.yarnpkg.com/@fastify/busboy/-/busboy-2.1.1.tgz#b9da6a878a371829a0502c9b6c1c143ef6663f4d" + integrity sha512-vBZP4NlzfOlerQTnba4aqZoMhE/a9HY7HRqoOPaETQcSQuWEIyZMHGfVu6w9wGtGK5fED5qRs2DteVCjOH60sA== + "@fortaine/fetch-event-source@^3.0.6": version "3.0.6" resolved "https://registry.yarnpkg.com/@fortaine/fetch-event-source/-/fetch-event-source-3.0.6.tgz#b8552a2ca2c5202f5699b93a92be0188d422b06e" @@ -1977,6 +1982,20 @@ resolved "https://registry.yarnpkg.com/@pkgr/core/-/core-0.1.1.tgz#1ec17e2edbec25c8306d424ecfbf13c7de1aaa31" integrity sha512-cq8o4cWH0ibXh9VGi5P20Tu9XF/0fFXl9EUinr9QfTM7a7p0oTA4iJRCQWppXR1Pg8dSM0UCItCkPwsk9qWWYA== +"@qdrant/js-client-rest@^1.8.2": + version "1.8.2" + resolved "https://registry.yarnpkg.com/@qdrant/js-client-rest/-/js-client-rest-1.8.2.tgz#7ea149c791e6c89da931c5a8fd043f61a97aca56" + integrity sha512-BCGC4YRcqjRxXVo500CxjhluPpGO0XpOwojauT8675Duv24YTlkhvDRmc1c9k/df2+yH/typtkecK3VOi3CD7A== + dependencies: + "@qdrant/openapi-typescript-fetch" "1.2.6" + "@sevinf/maybe" "0.5.0" + undici "~5.28.4" + +"@qdrant/openapi-typescript-fetch@1.2.6": + version "1.2.6" + resolved "https://registry.yarnpkg.com/@qdrant/openapi-typescript-fetch/-/openapi-typescript-fetch-1.2.6.tgz#c2682a9fa26ded86384f421c991f6c461785af7e" + integrity sha512-oQG/FejNpItrxRHoyctYvT3rwGZOnK4jr3JdppO/c78ktDvkWiPXPHNsrDf33K9sZdRb6PR7gi4noIapu5q4HA== + "@remix-run/router@1.15.3": version "1.15.3" resolved "https://registry.yarnpkg.com/@remix-run/router/-/router-1.15.3.tgz#d2509048d69dbb72d5389a14945339f1430b2d3c" @@ -1995,6 +2014,11 @@ domhandler "^5.0.3" selderee "^0.11.0" +"@sevinf/maybe@0.5.0": + version "0.5.0" + resolved "https://registry.yarnpkg.com/@sevinf/maybe/-/maybe-0.5.0.tgz#e59fcea028df615fe87d708bb30e1f338e46bb44" + integrity sha512-ARhyoYDnY1LES3vYI0fiG6e9esWfTNcXcO6+MPJJXcnyMV3bim4lnFt45VXouV7y82F4x3YH8nOQ6VztuvUiWg== + "@sinclair/typebox@^0.29.0": version "0.29.6" resolved "https://registry.yarnpkg.com/@sinclair/typebox/-/typebox-0.29.6.tgz#4cd8372f9247372edd5fc5af44f67e2032c46e2f" @@ -8263,6 +8287,13 @@ undici-types@~5.26.4: resolved "https://registry.yarnpkg.com/undici-types/-/undici-types-5.26.5.tgz#bcd539893d00b56e964fd2657a4866b221a65617" integrity sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA== +undici@~5.28.4: + version "5.28.4" + resolved "https://registry.yarnpkg.com/undici/-/undici-5.28.4.tgz#6b280408edb6a1a604a9b20340f45b422e373068" + integrity sha512-72RFADWFqKmUb2hmmvNODKL3p9hcB6Gt2DOQMis1SEBaV6a4MH8soBvzg+95CYhCKPFedut2JY9bMfrDl9D23g== + dependencies: + "@fastify/busboy" "^2.0.0" + unicode-canonical-property-names-ecmascript@^2.0.0: version "2.0.0" resolved "https://registry.yarnpkg.com/unicode-canonical-property-names-ecmascript/-/unicode-canonical-property-names-ecmascript-2.0.0.tgz#301acdc525631670d39f6146e0e77ff6bbdebddc"