# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2023, csunny
# This file is distributed under the same license as the DB-GPT package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: DB-GPT 👏👏 0.3.5\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2023-08-29 21:14+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language: zh_CN\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.12.1\n"

#: ../../getting_started/application/kbqa/kbqa.md:1
#: 4b44ec7d6b3b492489b84bab4471fe46
msgid "KBQA"
msgstr ""

#: ../../getting_started/application/kbqa/kbqa.md:3
#: c4217f8786e24f5190354d129b21dff5
msgid ""
"![chat_knowledge](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/bc343c94-df3e-41e5-90d5-23b68c768c59)"
msgstr ""

#: ../../getting_started/application/kbqa/kbqa.md:3
#: ../../getting_started/application/kbqa/kbqa.md:7
#: 2f02ab2494b54fff87e7d1e310f38119 dc0349e48d5e4d89b1f9f353813c9f06
msgid "chat_knowledge"
msgstr "chat_knowledge"

#: ../../getting_started/application/kbqa/kbqa.md:5
#: 149c4c9e15004aaf992c5896deb9e541
msgid ""
"DB-GPT supports a knowledge question-answering module, which aims to "
"create an intelligent expert in the field of databases and provide "
"professional knowledge-based answers to database practitioners."
msgstr " DB-GPT支持知识问答模块，知识问答的初衷是打造DB领域的智能专家，为数据库从业人员解决专业的知识问题回答"

#: ../../getting_started/application/kbqa/kbqa.md:7
#: c7e103a20a2e4989aab8a750cdc4dbf4
msgid ""
"![chat_knowledge](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/6e55f2e5-94f7-4906-aed6-097db5c6c721)"
msgstr ""

#: ../../getting_started/application/kbqa/kbqa.md:9
#: ../../getting_started/application/kbqa/kbqa.md:12
#: 3ddf012fb6d74eb1be1a0fd0ada9ddf6 e29bffef26fb44ac978d6cbe6584f48f
msgid "KBQA abilities"
msgstr "KBQA现有能力"

#: ../../getting_started/application/kbqa/kbqa.md:13
#: 87cf02966b574d6db8baf0839b13e1e7
msgid "Knowledge Space."
msgstr "知识空间"

#: ../../getting_started/application/kbqa/kbqa.md:14
#: 2777488125234408aa7156a69fcfacef
msgid "Multi Source Knowledge Source Embedding."
msgstr "多数据源Embedding"

#: ../../getting_started/application/kbqa/kbqa.md:15
#: c50f2de4ea6f4aedb7d4fd674ee3f6f7
msgid "Embedding Argument Adjust"
msgstr "Embedding参数自定义"

#: ../../getting_started/application/kbqa/kbqa.md:16
#: f8a7af83e94e45239bd0efdb06eb320b
msgid "Chat Knowledge"
msgstr "知识问答"

#: ../../getting_started/application/kbqa/kbqa.md:17
#: e6025e23178f4f58a6d4c75a6bc1d036
msgid "Multi Vector DB"
msgstr "多向量数据库管理"

#: ../../getting_started/application/kbqa/kbqa.md:21
#: 0780e1d27af244429186caa866772c06
msgid ""
"If your DB type is Sqlite, there is nothing to do to build KBQA service "
"database schema."
msgstr ""

#: ../../getting_started/application/kbqa/kbqa.md:23
#: 38584aba054f4520a0b1d9b00d6abf06
msgid ""
"If your DB type is Mysql or other DBTYPE, you will build kbqa service "
"database schema."
msgstr ""

#: ../../getting_started/application/kbqa/kbqa.md:25
#: 9ef800860afe4728b2103286864ed3fb
msgid "Mysql"
msgstr ""

#: ../../getting_started/application/kbqa/kbqa.md:26
#: 3b30239fd457457eb707821794e786db
msgid ""
"$ mysql -h127.0.0.1 -uroot -paa12345678 < "
"./assets/schema/knowledge_management.sql"
msgstr ""

#: ../../getting_started/application/kbqa/kbqa.md:28
#: 1cd533c2f0254f8d8d10bafe5811a279
msgid "or"
msgstr ""

#: ../../getting_started/application/kbqa/kbqa.md:30
#: 2b57e7d9a70f427e81122fe8d7d3c50b
msgid "execute DBGPT/assets/schema/knowledge_management.sql"
msgstr ""

#: ../../getting_started/application/kbqa/kbqa.md:33
#: 45a0c8c8ff0a4b48ac2d66b4713c4108
msgid "Steps to KBQA In DB-GPT"
msgstr "怎样一步一步使用KBQA"

#: ../../getting_started/application/kbqa/kbqa.md:35
#: 2ff844b9a29f4717909d091a57d58fe8
msgid "1.Create Knowledge Space"
msgstr "1.首先创建知识空间"

#: ../../getting_started/application/kbqa/kbqa.md:36
#: 081e1d1ef5bb42ddbd7330dd3ac1d38e
#, fuzzy
msgid ""
"If you are using Knowledge Space for the first time, you need to create a"
" Knowledge Space and set your name, owner, description. "
"![create_space](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/a93e597b-c392-465f-89d5-b55621d068a8)"
msgstr "如果你是第一次使用，先创建知识空间，指定名字,拥有者和描述信息"

#: ../../getting_started/application/kbqa/kbqa.md:36
#: 4a393bf0f50647d4b0cfc64db80847eb
msgid "create_space"
msgstr "create_space"

#: ../../getting_started/application/kbqa/kbqa.md:41
#: 96303597bc364952b7249e805486e73f
msgid "2.Create Knowledge Document"
msgstr "2.上传知识"

#: ../../getting_started/application/kbqa/kbqa.md:42
#: 765f93f2b668491cb6824ea4706cb449
msgid ""
"DB-GPT now support Multi Knowledge Source, including Text, WebUrl, and "
"Document(PDF, Markdown, Word, PPT, HTML and CSV). After successfully "
"uploading a document for translation, the backend system will "
"automatically read and split and chunk the document, and then import it "
"into the vector database. Alternatively, you can manually synchronize the"
" document. You can also click on details to view the specific document "
"slicing content."
msgstr ""
"DB-GPT支持多数据源，包括Text纯文本, WebUrl和Document(PDF, Markdown, Word, PPT, HTML "
"and "
"CSV)。上传文档成功后后台会自动将文档内容进行读取，切片，然后导入到向量数据库中，当然你也可以手动进行同步，你也可以点击详情查看具体的文档切片内容"

#: ../../getting_started/application/kbqa/kbqa.md:44
#: a0eddeecc620479483bf50857da39ffd
msgid "2.1 Choose Knowledge Type:"
msgstr "2.1 选择知识类型"

#: ../../getting_started/application/kbqa/kbqa.md:45
#: 44de66f399324454b389d5c348af94e9
msgid ""
"![document](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/5b8173da-f444-4607-9d12-14bcab8179d0)"
msgstr ""

#: ../../getting_started/application/kbqa/kbqa.md:45
#: 1ae65290b99d490bb72b060084ecc726
msgid "document"
msgstr "document"

#: ../../getting_started/application/kbqa/kbqa.md:47
#: d8720434626444b593bb3b06b50dc70f
msgid "2.2 Upload Document:"
msgstr "2.2上传文档"

#: ../../getting_started/application/kbqa/kbqa.md:48
#: 2d4bcbeb391a47b89454b06cb041dff2
msgid ""
"![upload](https://github.com/eosphoros-ai/DB-GPT/assets/13723926"
"/91b338fc-d3b2-476e-9396-3f6b4f16a890)"
msgstr ""

#: ../../getting_started/application/kbqa/kbqa.md:48
#: ../../getting_started/application/kbqa/kbqa.md:52
#: ../../getting_started/application/kbqa/kbqa.md:57
#: ../../getting_started/application/kbqa/kbqa.md:70
#: 58b32cb59a6242679f4a1e5fc7ca819f 81041a1f25b64b19a7f662ed55029224
#: 8891e61f67014355b74c17d013c09cca f0e9c548494f4045a3dc92e993f4cfe7
msgid "upload"
msgstr "upload"

#: ../../getting_started/application/kbqa/kbqa.md:51
#: 645bf91a4f6a428a9e99ca29599c0722
msgid "3.Chat With Knowledge"
msgstr "3.知识问答"

#: ../../getting_started/application/kbqa/kbqa.md:52
#: 85077af67bd740c1b3b02996dc287a80
msgid ""
"![upload](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/a8281be7-1454-467d-81c9-15ef108aac10)"
msgstr ""

#: ../../getting_started/application/kbqa/kbqa.md:54
#: 42d5776030ad4109810a0cb18e19de37
msgid "4.Adjust Space arguments"
msgstr "4.调整知识参数"

#: ../../getting_started/application/kbqa/kbqa.md:55
#: a8ea23895a4b4312b1c1e072865f8b90
msgid ""
"Each knowledge space supports argument customization, including the "
"relevant arguments for vector retrieval and the arguments for knowledge "
"question-answering prompts."
msgstr "每一个知识空间都支持参数自定义, 包括向量召回的相关参数以及知识问答Promp参数"

#: ../../getting_started/application/kbqa/kbqa.md:56
#: 2f5c087e4f7a49828aa797fafff237f0
msgid "4.1 Embedding"
msgstr "4.1 Embedding"

#: ../../getting_started/application/kbqa/kbqa.md:57
#: 47087bf391b642f3ba73e461d2d132a0
msgid ""
"Embedding Argument ![upload](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/f1221bd5-d049-4ceb-96e6-8709e76e502e)"
msgstr ""

#: ../../getting_started/application/kbqa/kbqa.md:61
#: 1ed384ba0501423184a4c977d86b8b3a
msgid "Embedding arguments"
msgstr "Embedding arguments"

#: ../../getting_started/application/kbqa/kbqa.md:62
#: 848962be69a348ffab3dd48839fb100a
msgid "topk:the top k vectors based on similarity score."
msgstr "topk:相似性检索出tok条文档"

#: ../../getting_started/application/kbqa/kbqa.md:63
#: 0880963aeb9c426187809a7086c224a8
msgid "recall_score:set a threshold score for the retrieval of similar vectors."
msgstr "recall_score:向量检索相关度衡量指标分数"

#: ../../getting_started/application/kbqa/kbqa.md:64
#: a6ead8ae58164749b83e5c972537fe8b
msgid "recall_type:recall type."
msgstr "recall_type:召回类型"

#: ../../getting_started/application/kbqa/kbqa.md:65
#: 70d900b0948849d080effcdfc79bb685
msgid "model:A model used to create vector representations of text or other data."
msgstr "model:embdding模型"

#: ../../getting_started/application/kbqa/kbqa.md:66
#: 489a58835a5d4c98ad5f6f904f7af370
msgid "chunk_size:The size of the data chunks used in processing."
msgstr "chunk_size:文档切片阈值大小"

#: ../../getting_started/application/kbqa/kbqa.md:67
#: b42781f2340c478f86137147fd4a6c91
msgid "chunk_overlap:The amount of overlap between adjacent data chunks."
msgstr "chunk_overlap:文本块之间的最大重叠量。保留一些重叠可以保持文本块之间的连续性（例如使用滑动窗口）"

#: ../../getting_started/application/kbqa/kbqa.md:69
#: 5f027d4a10394e7da3d4b50fc2663f82
msgid "4.2 Prompt"
msgstr "4.2 Prompt"

#: ../../getting_started/application/kbqa/kbqa.md:70
#: 9ad62d8626584e80a82fcef239c0f546
msgid ""
"Prompt Argument ![upload](https://github.com/eosphoros-ai/DB-"
"GPT/assets/13723926/9918c9c3-ed64-4804-9e05-fa7d7d177bec)"
msgstr ""

#: ../../getting_started/application/kbqa/kbqa.md:74
#: ec0717b8d210410f9894d2a4f51642e1
msgid "Prompt arguments"
msgstr "Prompt arguments"

#: ../../getting_started/application/kbqa/kbqa.md:75
#: 7cf68eacd5ae4151abdefe44feb239e1
msgid ""
"scene:A contextual parameter used to define the setting or environment in"
" which the prompt is being used."
msgstr "scene:上下文环境的场景定义"

#: ../../getting_started/application/kbqa/kbqa.md:76
#: 2d9293acfb1a495c9b08261e957b2395
msgid ""
"template:A pre-defined structure or format for the prompt, which can help"
" ensure that the AI system generates responses that are consistent with "
"the desired style or tone."
msgstr "template:预定义的提示结构或格式，可以帮助确保AI系统生成与所期望的风格或语气一致的回复。"

#: ../../getting_started/application/kbqa/kbqa.md:77
#: 307dd62261214e4e84beb7f19b3e2f26
msgid "max_token:The maximum number of tokens or words allowed in a prompt."
msgstr "max_token: prompt token最大值"

#: ../../getting_started/application/kbqa/kbqa.md:79
#: 07b797731fa74738acb3e1fb4c03deac
msgid "5.Change Vector Database"
msgstr "5.Change Vector Database"

#: ../../getting_started/application/kbqa/kbqa.md:81
#: 43fa40ced23842b48007b4264c1423c0
msgid "Vector Store SETTINGS"
msgstr "Vector Store SETTINGS"

#: ../../getting_started/application/kbqa/kbqa.md:82
#: 0ed4e0c6a81e4265b443a2c6d05d440b
msgid "Chroma"
msgstr "Chroma"

#: ../../getting_started/application/kbqa/kbqa.md:83
#: 8ef2d15ffd0c4919bdbfdb52443021eb
msgid "VECTOR_STORE_TYPE=Chroma"
msgstr "VECTOR_STORE_TYPE=Chroma"

#: ../../getting_started/application/kbqa/kbqa.md:84
#: 08504aaae0014bd9992345f036989198
msgid "MILVUS"
msgstr "MILVUS"

#: ../../getting_started/application/kbqa/kbqa.md:85
#: aa30fe77dc3f46bfb153b81e0cbdfb97
msgid "VECTOR_STORE_TYPE=Milvus"
msgstr "VECTOR_STORE_TYPE=Milvus"

#: ../../getting_started/application/kbqa/kbqa.md:86
#: e14c1646e5ca4677a471645c13dca835
msgid "MILVUS_URL=127.0.0.1"
msgstr "MILVUS_URL=127.0.0.1"

#: ../../getting_started/application/kbqa/kbqa.md:87
#: 0f0614f951934fd6abfb0fd45e0b79e7
msgid "MILVUS_PORT=19530"
msgstr "MILVUS_PORT=19530"

#: ../../getting_started/application/kbqa/kbqa.md:88
#: 4dafbbd894e4469e80414b54bde69193
msgid "MILVUS_USERNAME"
msgstr "MILVUS_USERNAME"

#: ../../getting_started/application/kbqa/kbqa.md:89
#: 1759ec4d744e42a5a928c6abcc2dd2ac
msgid "MILVUS_PASSWORD"
msgstr "MILVUS_PASSWORD"

#: ../../getting_started/application/kbqa/kbqa.md:90
#: d44bcea1db4f4388bc2ae7968e541761
msgid "MILVUS_SECURE="
msgstr "MILVUS_SECURE="

#: ../../getting_started/application/kbqa/kbqa.md:92
#: f33218e0880f4d888438d3333f4a0895
msgid "WEAVIATE"
msgstr "WEAVIATE"

#: ../../getting_started/application/kbqa/kbqa.md:93
#: 42a2102b236447ff83820d3a1602c3f2
msgid "WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.network"
msgstr "WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.networkc"

#~ msgid "![chat_knowledge](../../../../assets/chat_knowledge.png)"
#~ msgstr "![chat_knowledge](../../../../assets/chat_knowledge.png)"

#~ msgid "![document](../../../../assets/kbqa/document.jpg)"
#~ msgstr "![document](../../../../assets/kbqa/document.jpg)"

#~ msgid "![upload](../../../../assets/kbqa/upload.jpg)"
#~ msgstr "![upload](../../../../assets/kbqa/upload.jpg)"

#~ msgid "![upload](../../../../assets/kbqa/begin_chat.jpg)"
#~ msgstr "![upload](../../../../assets/kbqa/begin_chat.jpg)"

#~ msgid "Embedding Argument ![upload](../../../../assets/kbqa/embedding.png)"
#~ msgstr "Embedding Argument ![upload](../../../../assets/kbqa/embedding.png)"

#~ msgid "Prompt Argument ![upload](../../../../assets/kbqa/prompt.png)"
#~ msgstr "Prompt Argument ![upload](../../../../assets/kbqa/prompt.png)"

