fix: requirements chromadb==0.3.22 (#247)

1.requirements version

Closes #246
This commit is contained in:
magic.chen 2023-06-19 19:30:25 +08:00 committed by GitHub
commit a366917b21
8 changed files with 248 additions and 92 deletions

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@ -5,7 +5,7 @@ This is a collection of DB-GPT tutorials on Medium.
DB-GPT is divided into several functions, including chat with knowledge base, execute SQL, chat with database, and execute plugins.
### Introduce
### Introduction
[What is DB-GPT](https://www.youtube.com/watch?v=QszhVJerc0I)
### Knowledge

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@ -8,7 +8,7 @@ msgid ""
msgstr ""
"Project-Id-Version: DB-GPT 0.1.0\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2023-06-14 17:19+0800\n"
"POT-Creation-Date: 2023-06-19 19:10+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language: zh_CN\n"
@ -19,25 +19,25 @@ msgstr ""
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.12.1\n"
#: ../../getting_started/tutorials.md:1 f80ad98cf2d444a3a159655b37ae4d4f
#: ../../getting_started/tutorials.md:1 23db0155c8ae4a2288cbf9137599c973
msgid "Tutorials"
msgstr "教程"
#: ../../getting_started/tutorials.md:4 ff8771c31b024e538dbbaaeaccec8aa7
#: ../../getting_started/tutorials.md:4 8f2b93792b1947b7a544623ec637dd48
msgid "This is a collection of DB-GPT tutorials on Medium."
msgstr "这是知乎上DB-GPT教程的集合。"
#: ../../getting_started/tutorials.md:6 0c1c544a5d184375aabd7fe6918042e2
#: ../../getting_started/tutorials.md:6 7216c2d145674002bd82b1134aae9377
msgid ""
"DB-GPT is divided into several functions, including chat with knowledge "
"base, execute SQL, chat with database, and execute plugins."
msgstr ""
msgstr "DB-GPT包含以下功能和知识库聊天执行SQL和数据库聊天以及执行插件。"
#: ../../getting_started/tutorials.md:8 b5e106a97bbd4467b071bb05d837d7d9
#: ../../getting_started/tutorials.md:8 726f4394d6214c45979995ce521f8964
msgid "Introduction"
msgstr ""
msgstr "介绍"
#: ../../getting_started/tutorials.md:9 9df43436183d4b41a75a09fec15743d7
#: ../../getting_started/tutorials.md:9 16c9deecc5b848a2a17eccb0f2cbdafd
#, fuzzy
msgid "[What is DB-GPT](https://www.youtube.com/watch?v=QszhVJerc0I)"
msgstr ""
@ -45,11 +45,12 @@ msgstr ""
"GPT](https://www.bilibili.com/video/BV1SM4y1a7Nj/?buvid=551b023900b290f9497610b2155a2668&is_story_h5=false&mid=%2BVyE%2Fwau5woPcUKieCWS0A%3D%3D&p=1&plat_id=116&share_from=ugc&share_medium=iphone&share_plat=ios&share_session_id=5D08B533-82A4-4D40-9615-7826065B4574&share_source=GENERIC&share_tag=s_i&timestamp=1686307943&unique_k=bhO3lgQ&up_id=31375446)"
" by csunny (https://github.com/csunny/DB-GPT)"
#: ../../getting_started/tutorials.md:11 3096811f862649bf84ff3cd29cdf14db
msgid "Knowledge Base"
#: ../../getting_started/tutorials.md:11 461a585616ae49518a8e314d13bb886c
#, fuzzy
msgid "Knowledge"
msgstr "知识库"
#: ../../getting_started/tutorials.md:13 ea00f3de8c754bf2950e735a2f14043a
#: ../../getting_started/tutorials.md:13 4fa6c8d8ec5e43fcb4e79443c83a68ae
#, fuzzy
msgid ""
"[How to Create your own knowledge repository](https://db-"
@ -58,55 +59,54 @@ msgstr ""
"[怎么创建自己的知识库](https://db-"
"gpt.readthedocs.io/en/latest/modules/knowledge.html)"
#: ../../getting_started/tutorials.md:15 07195f11314945989eeeb9400c8a9b43
#: ../../getting_started/tutorials.md:15 c03c45687f6b46f1a8da8085b45cee98
#, fuzzy
msgid "![Add new Knowledge demonstration](../../assets/new_knownledge.gif)"
msgstr "[新增知识库演示](../../assets/new_knownledge_en.gif)"
#: ../../getting_started/tutorials.md:15 333cdda401df4509a11d14535391b8a8
#: ../../getting_started/tutorials.md:15 efacc5af342248f4935e401ed044ec9e
#, fuzzy
msgid "Add new Knowledge demonstration"
msgstr "[新增知识库演示](../../assets/new_knownledge_en.gif)"
#: ../../getting_started/tutorials.md:17 5245cd247a184f63a10f735f414f303f
#: ../../getting_started/tutorials.md:17 dcdb8d1e73f241649756a126e1ddc185
msgid "SQL Generation"
msgstr ""
msgstr "SQL生成"
#: ../../getting_started/tutorials.md:18 9a980e7625d34b98bf318851c43fb13d
#: ../../getting_started/tutorials.md:18 517960225da64780afc858958ab34446
#, fuzzy
msgid "![sql generation demonstration](../../assets/demo_en.gif)"
msgstr "[sql生成演示](../../assets/demo_en.gif)"
#: ../../getting_started/tutorials.md:18 952c680cf62140978b4e94d36c49134a
#: ../../getting_started/tutorials.md:18 1e1a38abf60241058ee7a50759f9c426
#, fuzzy
msgid "sql generation demonstration"
msgstr "[sql生成演示](../../assets/demo_en.gif)"
#: ../../getting_started/tutorials.md:20 c0a6f9fefbb9404695fe3bffb6ecc577
#: ../../getting_started/tutorials.md:20 7bec46758a5e4581a0d1636fb32ac2b8
msgid "SQL Execute"
msgstr "SQL执行"
#: ../../getting_started/tutorials.md:21 e959cc6ca356407d854ee5541233c19a
#: ../../getting_started/tutorials.md:21 64cd323f38694ae4aa4cb49303041742
#, fuzzy
msgid "![sql execute demonstration](../../assets/auto_sql_en.gif)"
msgstr "[sql execute 演示](../../assets/auto_sql_en.gif)"
#: ../../getting_started/tutorials.md:21 69247d51ccd349b082ea452f6d74d2b3
#: ../../getting_started/tutorials.md:21 2c6d6c7428c3487eb969f87ccbc00961
#, fuzzy
msgid "sql execute demonstration"
msgstr "SQL执行"
msgstr "SQL执行演示"
#: ../../getting_started/tutorials.md:23 0fd9770dbf3c49b0b644599dc70187a7
#: ../../getting_started/tutorials.md:23 4ff018bac02f45fe8da5b649c501bf6b
#, fuzzy
msgid "Plugins"
msgstr "DB Plugins"
msgstr "DB插件"
#: ../../getting_started/tutorials.md:24 cf58eb1ee13f49f69e501c0e221b4bed
#: ../../getting_started/tutorials.md:24 0ea9c7c5fd5e4457a41602467758fd47
#, fuzzy
msgid "![db plugins demonstration](../../assets/dbgpt_bytebase_plugin.gif)"
msgstr "[db plugins 演示](../../assets/dbgpt_bytebase_plugin.gif)"
#: ../../getting_started/tutorials.md:24 9e474caadb87481ba51f8595067f7edd
#: ../../getting_started/tutorials.md:24 98a384eb772e44c2954ccd7989c5905f
msgid "db plugins demonstration"
msgstr ""
msgstr "DB插件演示"

View File

@ -8,7 +8,7 @@ msgid ""
msgstr ""
"Project-Id-Version: DB-GPT 0.1.0\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2023-06-15 21:28+0800\n"
"POT-Creation-Date: 2023-06-19 19:10+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language: zh_CN\n"
@ -19,31 +19,31 @@ msgstr ""
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.12.1\n"
#: ../../index.rst:34 ../../index.rst:45 ff89e1093f974141a3791696a8f007d1
#: ../../index.rst:34 ../../index.rst:45 ccc4a2e234354c8fb71e8eb930071c79
msgid "Getting Started"
msgstr "开始"
#: ../../index.rst:56 ../../index.rst:77 3ad12bad060f4210a83433b58b133491
#: ../../index.rst:56 ../../index.rst:77 e12392f17e074b0ab8e693947bda6fc9
msgid "Modules"
msgstr "模块"
#: ../../index.rst:91 ../../index.rst:107 4a6ebbeaf13b4f3ca3d3e7f7efc87a53
#: ../../index.rst:91 ../../index.rst:107 8fe142b9f4d24fa7aa20103a01283c15
msgid "Use Cases"
msgstr "示例"
#: ../../index.rst:121 ../../index.rst:124 fc6d9b2ac37d4a72908c520487971641
#: ../../index.rst:121 ../../index.rst:124 ea5086df6a7446e180cbdff164fc4ac4
msgid "Reference"
msgstr "参考"
#: ../../index.rst:148 ../../index.rst:154 39ceeafdcf364920b861bf8c7e3ffc96
#: ../../index.rst:148 ../../index.rst:154 7b4ce224d08d429082917a0d20761728
msgid "Resources"
msgstr "资源"
#: ../../index.rst:7 5d163c8c53014c9baedf15446369e44b
#: ../../index.rst:7 5b9b4c087e2041cfa3adc5ff770a6883
msgid "Welcome to DB-GPT!"
msgstr "欢迎来到DB-GPT中文文档"
#: ../../index.rst:8 ca0d68c8a51b42aa887fb6df9573817c
#: ../../index.rst:8 d6e5a54e39c2400eba9036e61df0c836
msgid ""
"As large models are released and iterated upon, they are becoming "
"increasingly intelligent. However, in the process of using large models, "
@ -61,7 +61,7 @@ msgstr ""
"我们启动了DB-"
"GPT项目为所有基于数据库的场景构建一个完整的私有大模型解决方案。该方案“”支持本地部署既可应用于“独立私有环境”又可根据业务模块进行“独立部署”和“隔离”确保“大模型”的能力绝对私有、安全、可控。"
#: ../../index.rst:10 fbf09f8fd0d542a4b60df422616bfd46
#: ../../index.rst:10 7758a7767c1e4103a7dc8314abbabd2e
msgid ""
"**DB-GPT** is an experimental open-source project that uses localized GPT"
" large models to interact with your data and environment. With this "
@ -71,100 +71,98 @@ msgstr ""
"DB-GPT 是一个开源的以数据库为基础的GPT实验项目使用本地化的GPT大模型与您的数据和环境进行交互无数据泄露风险100% 私密100%"
" 安全。"
#: ../../index.rst:12 25fc1d7c06a2475bbf8832f1f586c298
#: ../../index.rst:12 8a1cd45818f848d585bc3e94aecc99ae
msgid "**Features**"
msgstr "特性"
#: ../../index.rst:13 70fdcc9161f84fa189a355cb4c9d396d
#: ../../index.rst:13 eba08d77b2494d689cf52d3d15e04c77
msgid ""
"Currently, we have released multiple key features, which are listed below"
" to demonstrate our current capabilities:"
msgstr "目前我们已经发布了多种关键的特性,这里一一列举展示一下当前发布的能力。"
#: ../../index.rst:15 4820bb3c60a5422d9779ab59c21c1dd7
#: ../../index.rst:15 8bf5afc3467642a7abaefe54ffe7b3a3
msgid "SQL language capabilities - SQL generation - SQL diagnosis"
msgstr "SQL语言能力 - SQL生成 - SQL诊断"
#: ../../index.rst:19 4e9555aa81f344eb8b5ee4668cbb17a8
#: ../../index.rst:19 5a93613526fb42cbbc8d9cda960e8d04
msgid ""
"Private domain Q&A and data processing - Database knowledge Q&A - Data "
"processing"
msgstr "私有领域问答与数据处理 - 数据库知识问答 - 数据处理"
#: ../../index.rst:23 4ea169e9aa5f4bef9084ff512346f80b
#: ../../index.rst:23 48d473545ce049f7bad161f05fc40888
msgid ""
"Plugins - Support custom plugin execution tasks and natively support the "
"Auto-GPT plugin, such as:"
msgstr "插件模型 - 支持自定义插件执行任务并原生支持Auto-GPT插件例如:* SQL自动执行获取查询结果 * 自动爬取学习知识"
#: ../../index.rst:26 8ad0cae06f134260a8f8e07839959f7a
#: ../../index.rst:26 6e8711ce9d024e4b8c86c9ccc61da30a
msgid ""
"Unified vector storage/indexing of knowledge base - Support for "
"unstructured data such as PDF, Markdown, CSV, and WebURL"
msgstr "知识库统一向量存储/索引 - 非结构化数据支持包括PDF、MarkDown、CSV、WebURL"
#: ../../index.rst:29 62c34be5a1424c3193fb91ec1180f1e0
#: ../../index.rst:29 b7f600ad1b2e4d4a85199a934c4b5c2f
msgid ""
"Milti LLMs Support - Supports multiple large language models, currently "
"supporting Vicuna (7b, 13b), ChatGLM-6b (int4, int8) - TODO: codegen2, "
"codet5p"
msgstr "多模型支持 - 支持多种大语言模型, 当前已支持Vicuna(7b,13b), ChatGLM-6b(int4, int8)"
#: ../../index.rst:35 09be6ef241304499a2554f07884d0263
#: ../../index.rst:35 7350947e20c146408cf7f99671cfc295
msgid ""
"How to get started using DB-GPT to interact with your data and "
"environment."
msgstr "开始使用DB-GPT与您的数据环境进行交互。"
#: ../../index.rst:36 03445e990cf9450b9fef7b05ee1f53ae
msgid "`Quickstart Guid <./getting_started/getting_started.html>`_"
#: ../../index.rst:36 5bad56f636ac42978634b18628fd6a20
#, fuzzy
msgid "`Quickstart Guide <./getting_started/getting_started.html>`_"
msgstr "`使用指南 <./getting_started/getting_started.html>`_"
#: ../../index.rst:38 dfb38d03edec4b968341deca703c680f
#: ../../index.rst:38 ca63453d7ee84d05821af994be060932
msgid "Concepts and terminology"
msgstr "相关概念"
#: ../../index.rst:40 25896d39991445a9baaa7317995e7486
msgid "`Concepts and terminology <./getting_started/concepts.html>`_"
#: ../../index.rst:40 abddf7b7d23c49149eb70e384ab3eedf
#, fuzzy
msgid "`Concepts and Terminology <./getting_started/concepts.html>`_"
msgstr "`相关概念 <./getting_started/concepts.html>`_"
#: ../../index.rst:42 c721cee2fa044ea9b0201e760e0fe336
msgid "Coming soon..."
msgstr ""
#: ../../index.rst:44 815a4ab192ce4fc891c5358bdd28d3f7
#: ../../index.rst:44 ee8121fc3ef34d61a94b25c8b2bb961f
msgid "`Tutorials <.getting_started/tutorials.html>`_"
msgstr "`教程 <.getting_started/tutorials.html>`_"
#: ../../index.rst:58 465b205162a645b5a52d42884b4eee16
#: ../../index.rst:58 6561430a5aca482d9e36c281d530bce1
msgid ""
"These modules are the core abstractions with which we can interact with "
"data and environment smoothly."
msgstr "这些模块是我们可以与数据和环境顺利地进行交互的核心组成。"
#: ../../index.rst:59 f982a6c162864f59baf528d5fb2d7c09
#: ../../index.rst:59 5b0c1abed4e74351a52a17bd420f61d9
msgid ""
"It's very important for DB-GPT, DB-GPT also provide standard, extendable "
"interfaces."
msgstr "DB-GPT还提供了标准的、可扩展的接口。"
#: ../../index.rst:61 58b9c18db1f44a7c81c472ad44757f38
#: ../../index.rst:61 71a71702e36f4d298b4c07af77daa305
msgid ""
"The docs for each module contain quickstart examples, how to guides, "
"reference docs, and conceptual guides."
msgstr "每个模块的文档都包含快速入门的例子、操作指南、参考文档和相关概念等内容。"
#: ../../index.rst:63 7c2cf06512664b4baaa132e6f5bad325
#: ../../index.rst:63 c5c59f19e04340e8a8105f020143d378
msgid "The modules are as follows"
msgstr "组成模块如下:"
#: ../../index.rst:65 28f01f96cfef4900a8f87d3b9c730963
#: ../../index.rst:65 c6141fac66e7440593ed74962676085f
msgid ""
"`LLMs <./modules/llms.html>`_: Supported multi models management and "
"integrations."
msgstr "`LLMs <./modules/llms.html>`_:基于FastChat提供大模型的运行环境。支持多模型管理和集成。 "
#: ../../index.rst:67 7815ccc422c645ecbf93f046f6a89e45
#: ../../index.rst:67 762dac57a0a842beb69668917477164f
msgid ""
"`Prompts <./modules/prompts.html>`_: Prompt management, optimization, and"
" serialization for multi database."
@ -172,59 +170,59 @@ msgstr ""
"`Prompt自动生成与优化 <./modules/prompts.html>`_: 自动化生成高质量的Prompt "
",并进行优化,提高系统的响应效率"
#: ../../index.rst:69 613c6a4afd2343cfb8d6ba0513c4d705
#: ../../index.rst:69 a4183c4e5469468a8c0a66eff57b55cf
msgid "`Plugins <./modules/plugins.html>`_: Plugins management, scheduler."
msgstr "`Agent与插件 <./modules/plugins.html>`_:提供Agent和插件机制使得用户可以自定义并增强系统的行为。"
#: ../../index.rst:71 4d7f447adcfb41449f1cde3e0d860cbd
#: ../../index.rst:71 1fb71f17d87d4e81986685afca5c5f64
#, fuzzy
msgid ""
"`Knowledge <./modules/knowledge.html>`_: Knowledge management, embedding,"
" and search."
msgstr "`知识库能力: <./modules/knowledge.html>`_: 支持私域知识库问答能力, "
#: ../../index.rst:73 a0528c0588594dfe8292e3615ea14def
#: ../../index.rst:73 b063179603b64fef8dc00265dcdf44a9
msgid ""
"`Connections <./modules/connections.html>`_: Supported multi databases "
"connection. management connections and interact with this."
msgstr "`连接模块 <./modules/connections.html>`_: 用于连接不同的模块和数据源,实现数据的流转和交互 "
#: ../../index.rst:75 187e08a3ce5c4eee8d7a1a4080e7cc5b
#: ../../index.rst:75 033bc012c46a4ec780022e51e32ba173
#, fuzzy
msgid "`Vector <./modules/vector.html>`_: Supported multi vector database."
msgstr "`LLMs <./modules/llms.html>`_:基于FastChat提供大模型的运行环境。支持多模型管理和集成。 "
#: ../../index.rst:93 ba66ec10385441659843b79176113d8d
#: ../../index.rst:93 3c0bd77d77c94a108584e2dd67f71909
msgid "Best Practices and built-in implementations for common DB-GPT use cases:"
msgstr "DB-GPT用例的最佳实践和内置方法:"
#: ../../index.rst:95 4b0c8553d1174cec9b901307600fe6f8
#: ../../index.rst:95 827074b48e7846fb9c77aaa82ff7375a
msgid ""
"`Sql generation and diagnosis "
"<./use_cases/sql_generation_and_diagnosis.html>`_: SQL generation and "
"diagnosis."
msgstr "`Sql生成和诊断 <./use_cases/sql_generation_and_diagnosis.html>`_: Sql生成和诊断。"
#: ../../index.rst:97 2d58029f77d64f41aeb5edf80f3a15a0
#: ../../index.rst:97 59f4b4e2a0c54e0aa1dd4ed6d866569d
msgid ""
"`knownledge Based QA <./use_cases/knownledge_based_qa.html>`_: A "
"important scene for user to chat with database documents, codes, bugs and"
" schemas."
msgstr "`知识库问答 <./use_cases/knownledge_based_qa.html>`_: 用户与数据库文档、代码和bug聊天的重要场景\""
#: ../../index.rst:99 9945fb5cd8264a2b9b4a23c7cbf9c4d6
#: ../../index.rst:99 61cbb326c1134cf3b4dbf4585036c046
msgid ""
"`Chatbots <./use_cases/chatbots.html>`_: Language model love to chat, use"
" multi models to chat."
msgstr "`聊天机器人 <./use_cases/chatbots.html>`_: 使用多模型进行对话"
#: ../../index.rst:101 79878fc3a54244f78d030555e8df903c
#: ../../index.rst:101 488b5a083f364d488284c64400f452ff
msgid ""
"`Querying Database Data <./use_cases/query_database_data.html>`_: Query "
"and Analysis data from databases and give charts."
msgstr "`查询数据库数据 <./use_cases/query_database_data.html>`_:从数据库中查询和分析数据并给出图表。"
#: ../../index.rst:103 54280881381a49b6838bc2bf52bc5e35
#: ../../index.rst:103 2a54fcac7c2f47da8a415087450a784d
msgid ""
"`Interacting with apis <./use_cases/interacting_with_api.html>`_: "
"Interact with apis, such as create a table, deploy a database cluster, "
@ -233,33 +231,33 @@ msgstr ""
"`API交互 <./use_cases/interacting_with_api.html>`_: "
"与API交互例如创建表、部署数据库集群、创建数据库等。"
#: ../../index.rst:105 e9f9a28795d447b0a6cc4f7d1a42b4b5
#: ../../index.rst:105 126df42194b643cd9b9326ee71b62912
msgid ""
"`Tool use with plugins <./use_cases/tool_use_with_plugin>`_: According to"
" Plugin use tools to manage databases autonomoly."
msgstr "`插件工具 <./use_cases/tool_use_with_plugin>`_: 根据插件使用工具自主管理数据库。"
#: ../../index.rst:122 ce9606638e9d407e9d922f8548a9629f
#: ../../index.rst:122 fd5e4ce005f24f8eb6eeafe6d16de131
msgid ""
"Full documentation on all methods, classes, installation methods, and "
"integration setups for DB-GPT."
msgstr "关于DB-GPT的所有方法、类、安装方法和集成设置的完整文档。"
#: ../../index.rst:133 474ac86db3154a35bad4ae3e0a1f94a1
#: ../../index.rst:133 ee9eb07b432040059c50e6834487f524
msgid "Ecosystem"
msgstr "环境系统"
#: ../../index.rst:135 215a8df681a7487da420798507882bf4
#: ../../index.rst:135 826bf512f3a146a89af657abacac6b1b
msgid "Guides for how other companies/products can be used with DB-GPT"
msgstr "其他公司/产品如何与DB-GPT一起使用的方法指南"
#: ../../index.rst:150 57c73e56c1ec4df7922e8d45bba32b52
#: ../../index.rst:150 4237eb1479194d8087dfd4f64d944555
msgid ""
"Additional resources we think may be useful as you develop your "
"application!"
msgstr "“我们认为在您开发应用程序时可能有用的其他资源!”"
#: ../../index.rst:152 2bcbdab6b08b4280b7178bce430c3f48
#: ../../index.rst:152 fc80bea0667a4faba7d4ea7dc697fc28
msgid ""
"`Discord <https://discord.com/invite/twmZk3vv>`_: if your have some "
"problem or ideas, you can talk from discord."

View File

@ -8,7 +8,7 @@ msgid ""
msgstr ""
"Project-Id-Version: DB-GPT 👏👏 0.2.2\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2023-06-15 21:28+0800\n"
"POT-Creation-Date: 2023-06-19 19:10+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language: zh_CN\n"
@ -19,16 +19,16 @@ msgstr ""
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.12.1\n"
#: ../../modules/vector.rst:2 ../../modules/vector.rst:16
#: 717d29faf59845cc86e24c343d574685
#: ../../modules/vector.rst:2 ../../modules/vector.rst:17
#: 22f05e3df5a14919ba30198e3800fdb9
msgid "VectorConnector"
msgstr "VectorConnector"
#: ../../modules/vector.rst:4 18436a753b2c4d4199318383faa226f0
#: ../../modules/vector.rst:4 caa4353c84a04157809b694a6a7b46ca
msgid "**VectorConnector Introduce**"
msgstr "VectorConnector介绍"
#: ../../modules/vector.rst:6 8bc42e668949407280d033cadcc898c8
#: ../../modules/vector.rst:6 e2f584d6cf374a10ae4471d3b9a72cef
msgid ""
"vector knowledge base is a method of mapping words in language to a high-"
"dimensional vector space. In the vector space, each word is represented "
@ -43,24 +43,33 @@ msgid ""
" requires a large corpus and computing resources to complete."
msgstr "向量知识库是一种将语言中的单词映射到一个高维向量空间中的方法。在向量空间中每个单词都表示为一个向量这个向量包含了许多数值特征这些特征代表了该单词与其他单词之间的关系。这种映射是一种聚类技术通过将语言中的单词映射到向量空间中单词之间的语义关系可以通过计算它们在向量空间中的差异来计算。向量知识库可以用于自然语言处理任务如情感分析、文本分类、机器翻译等。常见的向量知识库有Word2Vec、GloVe、FastText等。这些向量知识库的训练通常需要大量的语料库和计算资源来完成。"
#: ../../modules/vector.rst:8 0be8cf38ca00436dac74a462f438940d
#: ../../modules/vector.rst:8 02a16590b6ec49c09a8247f89714eada
msgid ""
"VectorConnector is a vector database connection adapter that allows you "
"to connect different vector databases and abstracts away implementation "
"differences and underlying details of different vector data. For example,"
" it can be used to connect to databases such as Milvus, Chroma, "
"Elasticsearch, and Weaviate."
msgstr "vectorconnector是一个向量数据库连接适配器你可以通过它来连接不同的向量数据库并且屏蔽掉了不同的向量数据的是实现差异和底层细节。例如Milvus, Chroma, Elasticsearch, Weaviate..."
msgstr ""
"vectorconnector是一个向量数据库连接适配器你可以通过它来连接不同的向量数据库并且屏蔽掉了不同的向量数据的是实现差异和底层细节。例如Milvus,"
" Chroma, Elasticsearch, Weaviate..."
#: ../../modules/vector.rst:10 4d359cf0cf254b9392e9d3b963bc1071
#: ../../modules/vector.rst:10 c38e3540e8844ea2a550620e2afac343
msgid "DB-GPT VectorConnector currently support milvus and chroma vector database"
msgstr "DB-GPT VectorConnector当前支持Milvus和Chroma未来会越来越多."
#: ../../modules/vector.rst:12 60809c6ecbb64cc8888b9dc2f9de398a
msgid "`Chroma <./vector/chroma.html>`_: supported chroma vector database."
msgstr "msgid "`Chroma <./vector/chroma.html>`_: 支持Chroma向量数据库"
#: ../../modules/vector.rst:12 f7e25f67a8764cab9664f8b7208af1aa
#, fuzzy
msgid "`chroma <./vector/chroma.html>`_: supported chroma vector database."
msgstr "msgid \"`Chroma <./vector/chroma.html>`_: 支持Chroma向量数据库"
#: ../../modules/vector.rst:13 e24aeb84d75741fe9517a0d5ec5d92f1
msgid "`Milvus <./vector/milvus.html>`_: supported milvus vector database."
#: ../../modules/vector.rst:13 d08ef7653e964af590d9bb99d36204a8
#, fuzzy
msgid "`milvus <./vector/milvus.html>`_: supported milvus vector database."
msgstr "Milvus <./vector/milvus.html>`_: 支持Milvus向量数据库"
#: ../../modules/vector.rst:14 2f95f18ad59b471cbfbc3f4dda4f5982
#, fuzzy
msgid "`weaviate <./vector/weaviate.html>`_: supported weaviate vector database."
msgstr "Milvus <./vector/milvus.html>`_: 支持Milvus向量数据库"

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@ -0,0 +1,58 @@
# 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 👏👏 0.2.2\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2023-06-19 19:10+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"
#: ../../modules/vector/weaviate/weaviate.md:1 66d5a0e4ef6d41808b27e8401784e061
msgid "WeaviateStore"
msgstr "WeaviateStore"
#: ../../modules/vector/weaviate/weaviate.md:3 304e61962e8a48b398317dbb4e3ef533
msgid ""
"WeaviateStore is one implementation of the Milvus vector database in "
"VectorConnector."
msgstr "WeaviateStore是Weaviate向量数据库在VectorConnector的一种实现"
#: ../../modules/vector/weaviate/weaviate.md:5 fed48f3ae04b431f869725f1a92aaa1b
msgid ""
"[Tutorial on how to create a Weaviate "
"instance](https://weaviate.io/developers/weaviate/installation)"
msgstr "[怎样创建一个Weaviate实例](https://weaviate.io/developers/weaviate/installation)"
#: ../../modules/vector/weaviate/weaviate.md:7 7ffc39cf2d974401a4503efdba16c175
msgid ""
"inheriting the VectorStoreBase and implement similar_search(), "
"vector_name_exists(), load_document()."
msgstr "vector_name_exists(), load_document()."
#: ../../modules/vector/weaviate/weaviate.md:33
#: ee62d6a1d23f4197bfe3085d80a6df00
msgid "similar_search()"
msgstr "similar_search()""
#: ../../modules/vector/weaviate/weaviate.md:55
#: 81a117db4d4846edb78ab592a0d5a491
msgid "vector_name_exists()"
msgstr "vector_name_exists()"
#: ../../modules/vector/weaviate/weaviate.md:69
#: f453b53d3d2242ec9a28e3ce1dc44561
msgid "load_document()"
msgstr "load_document()"

View File

@ -11,6 +11,7 @@ DB-GPT VectorConnector currently support milvus and chroma vector database
- `chroma <./vector/chroma.html>`_: supported chroma vector database.
- `milvus <./vector/milvus.html>`_: supported milvus vector database.
- `weaviate <./vector/weaviate.html>`_: supported weaviate vector database.
.. toctree::
@ -20,4 +21,5 @@ DB-GPT VectorConnector currently support milvus and chroma vector database
:hidden:
./vector/chroma/chroma.md
./vector/milvus/milvus.md
./vector/milvus/milvus.md
./vector/weaviate/weaviate.md

View File

@ -0,0 +1,89 @@
WeaviateStore
==================================
WeaviateStore is one implementation of the Milvus vector database in VectorConnector.
[Tutorial on how to create a Weaviate instance](https://weaviate.io/developers/weaviate/installation)
inheriting the VectorStoreBase and implement similar_search(), vector_name_exists(), load_document().
```
class WeaviateStore(VectorStoreBase):
"""Weaviate database"""
def __init__(self, ctx: dict) -> None:
"""Initialize with Weaviate client."""
try:
import weaviate
except ImportError:
raise ValueError(
"Could not import weaviate python package. "
"Please install it with `pip install weaviate-client`."
)
self.ctx = ctx
self.weaviate_url = CFG.WEAVIATE_URL
self.embedding = ctx.get("embeddings", None)
self.vector_name = ctx["vector_store_name"]
self.persist_dir = os.path.join(
KNOWLEDGE_UPLOAD_ROOT_PATH, self.vector_name + ".vectordb"
)
self.vector_store_client = weaviate.Client(self.weaviate_url)
```
similar_search()
```
def similar_search(self, text: str, topk: int) -> None:
"""Perform similar search in Weaviate"""
logger.info("Weaviate similar search")
# nearText = {
# "concepts": [text],
# "distance": 0.75, # prior to v1.14 use "certainty" instead of "distance"
# }
# vector = self.embedding.embed_query(text)
response = (
self.vector_store_client.query.get(self.vector_name, ["metadata", "page_content"])
# .with_near_vector({"vector": vector})
.with_limit(topk)
.do()
)
docs = response['data']['Get'][list(response['data']['Get'].keys())[0]]
return docs
```
vector_name_exists()
```
def vector_name_exists(self) -> bool:
"""Check if a vector name exists for a given class in Weaviate.
Returns:
bool: True if the vector name exists, False otherwise.
"""
if self.vector_store_client.schema.get(self.vector_name):
return True
return False
```
load_document()
```
def load_document(self, documents: list) -> None:
"""Load documents into Weaviate"""
logger.info("Weaviate load document")
texts = [doc.page_content for doc in documents]
metadatas = [doc.metadata for doc in documents]
# Import data
with self.vector_store_client.batch as batch:
batch.batch_size = 100
# Batch import all documents
for i in range(len(texts)):
properties = {"metadata": metadatas[i]['source'], "page_content": texts[i]}
self.vector_store_client.batch.add_data_object(data_object=properties, class_name=self.vector_name)
self.vector_store_client.batch.flush()
```

View File

@ -59,7 +59,7 @@ nltk
python-dotenv==1.0.0
# pymilvus==2.2.1
vcrpy
chromadb=0.3.22
chromadb==0.3.22
markdown2
colorama
playsound