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doc: chatdb and kbqa document (#465)
This commit is contained in:
FangYin Cheng
GitHub
commit
076e22a5a5
@ -1,16 +1,36 @@
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ChatData & ChatDB
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==================================
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ChatData generates SQL from natural language and executes it. ChatDB involves conversing with metadata from the Database, including metadata about databases, tables, and fields.
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ChatData generates SQL from natural language and executes it. ChatDB involves conversing with metadata from the
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Database, including metadata about databases, tables, and
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fields.
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### 1.Choose Datasource
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If you are using DB-GPT for the first time, you need to add a data source and set the relevant connection information for the data source.
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If you are using DB-GPT for the first time, you need to add a data source and set the relevant connection information
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for the data source.
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```{tip}
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there are some example data in DB-GPT-NEW/DB-GPT/docker/examples
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you can execute sql script to generate data.
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```
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#### 1.1 Datasource management
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#### 1.2 Connection management
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#### 1.3 Add Datasource
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### 2.ChatData
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After successfully setting up the data source, you can start conversing with the database. You can ask it to generate SQL for you or inquire about relevant information on the database's metadata.
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After successfully setting up the data source, you can start conversing with the database. You can ask it to generate
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SQL for you or inquire about relevant information on the database's metadata.
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### 3.ChatDB
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@ -15,6 +15,18 @@ DB-GPT supports a knowledge question-answering module, which aims to create an i
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* Multi Vector DB
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```
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```{note}
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If your DB type is Sqlite, there is nothing to do to build KBQA service database schema.
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If your DB type is Mysql or other DBTYPE, you will build kbqa service database schema.
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### Mysql
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$ mysql -h127.0.0.1 -uroot -paa12345678 < ./assets/schema/knowledge_management.sql
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or
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execute DBGPT/assets/schema/knowledge_management.sql
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```
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## Steps to KBQA In DB-GPT
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@ -47,12 +47,24 @@ Set KNOWLEDGE_SEARCH_TOP_SIZE smaller or set KNOWLEDGE_CHUNK_SIZE smaller, and r
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1.shutdown dbgpt_server(ctrl c)
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2.add column context for table knowledge_space
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```commandline
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mysql -h127.0.0.1 -uroot -paa12345678
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```
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3.execute sql ddl
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```commandline
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mysql> use knowledge_management;
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mysql> ALTER TABLE knowledge_space ADD COLUMN context TEXT COMMENT "arguments context";
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```
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4.restart dbgpt serve
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4.restart dbgpt serve
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##### Q5:Use Mysql, how to use DB-GPT KBQA
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build Mysql KBQA system database schema.
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```bash
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$ mysql -h127.0.0.1 -uroot -paa12345678 < ./assets/schema/knowledge_management.sql
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```
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@ -2,7 +2,7 @@ Install
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==================================
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DB-GPT product is a Web application that you can chat database, chat knowledge, text2dashboard.
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.. image:: ./assets/DB-GPT-Product.jpg
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.. image:: https://github.com/eosphoros-ai/DB-GPT/assets/13723926/13d68dd5-d052-4976-9aeb-60ae13d63d02
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- deploy
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@ -8,7 +8,7 @@ msgid ""
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msgstr ""
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"Project-Id-Version: DB-GPT 👏👏 0.3.5\n"
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"Report-Msgid-Bugs-To: \n"
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"POT-Creation-Date: 2023-08-16 18:31+0800\n"
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"POT-Creation-Date: 2023-08-18 17:49+0800\n"
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"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
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"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
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"Language: zh_CN\n"
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@ -20,99 +20,110 @@ msgstr ""
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"Generated-By: Babel 2.12.1\n"
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#: ../../getting_started/application/chatdb/chatdb.md:1
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#: e3984d7305214fc59fc356bd2e382543
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#: 7bb2659a189b4d8ea9e24b4d7911759e
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msgid "ChatData & ChatDB"
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msgstr "ChatData & ChatDB"
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#: ../../getting_started/application/chatdb/chatdb.md:3
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#: e74daab738984be990aaa21ab5af7046
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#: 90784ed8f40c49e09fb91a0918b056cf
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msgid ""
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"ChatData generates SQL from natural language and executes it. ChatDB "
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"involves conversing with metadata from the Database, including metadata "
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"about databases, tables, and fields."
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msgstr "ChatData 是会将自然语言生成SQL，并将其执行。ChatDB是与Database里面的元数据，包括库、表、字段的元数据进行对话."
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msgstr ""
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"ChatData 是会将自然语言生成SQL，并将其执行。ChatDB是与Database里面的元数据，包括库、表、字段的元数据进行对话."
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#: ../../getting_started/application/chatdb/chatdb.md:3
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#: ../../getting_started/application/chatdb/chatdb.md:7
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#: ../../getting_started/application/chatdb/chatdb.md:9
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#: ../../getting_started/application/chatdb/chatdb.md:11
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#: ../../getting_started/application/chatdb/chatdb.md:13
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#: ../../getting_started/application/chatdb/chatdb.md:17
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#: 109d4292c91f4ca5a6b682189f10620a 23b1865780a24ad2b765196faff15550
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#: 3c87a8907e854e5d9a61b1ef658e5935 40eefe75a51e4444b1e4b67bdddc6da9
|
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#: 73eee6111545418e8f9ae533a255d589 876ee62e4e404da6b5d6c5cba0259e5c
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#: ../../getting_started/application/chatdb/chatdb.md:14
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#: ../../getting_started/application/chatdb/chatdb.md:16
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#: ../../getting_started/application/chatdb/chatdb.md:18
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#: ../../getting_started/application/chatdb/chatdb.md:20
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#: ../../getting_started/application/chatdb/chatdb.md:24
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#: 2af94cf92f7d4b7382aa9878a51a53f3 4858db05f4094aec93c0582546a7d76b
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msgid "db plugins demonstration"
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msgstr "db plugins demonstration"
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#: ../../getting_started/application/chatdb/chatdb.md:4
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#: a760078b833e434681da72c87342083f
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#: 96cec2f2107a4d99a9e94aed789e2344
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msgid "1.Choose Datasource"
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msgstr "1.Choose Datasource"
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#: ../../getting_started/application/chatdb/chatdb.md:5
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#: b68ac469c7d34026b1cb8b587a446737
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#: 25bd983e3b2f413c9cb2c04cc1631313
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msgid ""
|
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"If you are using DB-GPT for the first time, you need to add a data source"
|
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" and set the relevant connection information for the data source."
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msgstr "如果你是第一次使用DB-GPT, 首先需要添加数据源，设置数据源的相关连接信息"
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#: ../../getting_started/application/chatdb/chatdb.md:6
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#: 8edecf9287ce4077a984617f0a06e30c
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#: ../../getting_started/application/chatdb/chatdb.md:8
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#: 32c6bcabfdd14269b0ca04f2723c4745
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msgid "there are some example data in DB-GPT-NEW/DB-GPT/docker/examples"
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msgstr "在DB-GPT-NEW/DB-GPT/docker/examples有数据示例"
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#: ../../getting_started/application/chatdb/chatdb.md:10
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#: f582ded883b34b208af7ba44dd1d7a87
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msgid "you can execute sql script to generate data."
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msgstr "你可以通过执行sql脚本生成测试数据"
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#: ../../getting_started/application/chatdb/chatdb.md:13
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#: 77e5025ea41b4d2997172ef847cc94c0
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msgid "1.1 Datasource management"
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msgstr "1.1 Datasource management"
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|
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#: ../../getting_started/application/chatdb/chatdb.md:7
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#: af7b5d2f6c9b4666a3466fed05968258
|
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#: ../../getting_started/application/chatdb/chatdb.md:14
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#: 7a94c5d8f1d24cb28ecb933f63ea1bf0
|
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msgid ""
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msgstr ""
|
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|
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#: ../../getting_started/application/chatdb/chatdb.md:8
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#: f7d49ffe448d49169713452f54b3437c
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#: ../../getting_started/application/chatdb/chatdb.md:15
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#: ba5b3576317749d9bdcd6c4e2a7eee51
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msgid "1.2 Connection management"
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msgstr "1.2 Connection管理"
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#: ../../getting_started/application/chatdb/chatdb.md:9
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#: 109a8c9da05d4ec7a80ae1665b8d48bb
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#: ../../getting_started/application/chatdb/chatdb.md:16
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#: 79114a69a61642c6970358629340263b
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msgid ""
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msgstr ""
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#: ../../getting_started/application/chatdb/chatdb.md:10
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#: ac283fff85bf41efbd2cfeeda5980f9a
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#: ../../getting_started/application/chatdb/chatdb.md:17
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#: baaae5e3320742ea8def1144144ec2e0
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msgid "1.3 Add Datasource"
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msgstr "1.3 添加Datasource"
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#: ../../getting_started/application/chatdb/chatdb.md:11
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#: a25dec01f4824bfe88cc801c93bb3e3b
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#: ../../getting_started/application/chatdb/chatdb.md:18
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#: 68dee774bfcd4c39ab9081c911d4af26
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msgid ""
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""
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msgstr ""
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#: ../../getting_started/application/chatdb/chatdb.md:12
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#: 4751d6d3744148cab130a901594f673a
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#: ../../getting_started/application/chatdb/chatdb.md:19
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#: 30df69cad4fe41da8d1aefe0b8f7b963
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msgid "2.ChatData"
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msgstr "2.ChatData"
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#: ../../getting_started/application/chatdb/chatdb.md:13
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#: bad82b572ba34ffb8669f0f8ff9b0a05
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#: ../../getting_started/application/chatdb/chatdb.md:20
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#: a2f838d667b24ad9a70bb21d5f47dd55
|
||||
msgid ""
|
||||
"After successfully setting up the data source, you can start conversing "
|
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"with the database. You can ask it to generate SQL for you or inquire "
|
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"about relevant information on the database's metadata. "
|
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msgstr "设置数据源成功后就可以和数据库进行对话了。你可以让它帮你生成SQL，也可以和问它数据库元数据的相关信息。 "
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#: ../../getting_started/application/chatdb/chatdb.md:16
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#: 0bf9c5a2f3764b36abc82102c53d3cd4
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#: ../../getting_started/application/chatdb/chatdb.md:23
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#: eaa6f5302da242c7a41346610f7234e8
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msgid "3.ChatDB"
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msgstr "3.ChatDB"
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#: ../../getting_started/application/chatdb/chatdb.md:17
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#: f06e7583c2484a959c1681b1db0acfaa
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#: ../../getting_started/application/chatdb/chatdb.md:24
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#: 217eefe88eb5425fb8cb481df133157c
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msgid ""
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msgstr ""
|
||||
|
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|
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@ -8,7 +8,7 @@ msgid ""
|
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msgstr ""
|
||||
"Project-Id-Version: DB-GPT 👏👏 0.3.5\n"
|
||||
"Report-Msgid-Bugs-To: \n"
|
||||
"POT-Creation-Date: 2023-08-16 18:31+0800\n"
|
||||
"POT-Creation-Date: 2023-08-18 14:11+0800\n"
|
||||
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
|
||||
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
|
||||
"Language: zh_CN\n"
|
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@ -20,12 +20,12 @@ msgstr ""
|
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"Generated-By: Babel 2.12.1\n"
|
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|
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#: ../../getting_started/application/kbqa/kbqa.md:1
|
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#: a06d9329c98f44ffaaf6fc09ba53d97e
|
||||
#: c342c2c426ca40458d0de471f729bc42
|
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msgid "KBQA"
|
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msgstr ""
|
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|
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#: ../../getting_started/application/kbqa/kbqa.md:3
|
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#: bb6943c115754b1fafb7467313100753
|
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#: 5bd2a6513a1f4560a94b85e28345b030
|
||||
msgid ""
|
||||
"DB-GPT supports a knowledge question-answering module, which aims to "
|
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"create an intelligent expert in the field of databases and provide "
|
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@ -33,76 +33,112 @@ msgid ""
|
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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"
|
||||
|
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#: ../../getting_started/application/kbqa/kbqa.md:5
|
||||
#: a13ac963479e4d4fbcbcc4fec7863274
|
||||
#: fb32ebbf11ec4f3f925f0dc157e5bb1e
|
||||
msgid ""
|
||||
msgstr ""
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:5
|
||||
#: f4db3a8d04634059a74be1b2b3c948ef
|
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#: e44acc4009154e3396ebc8c69922c4e8
|
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msgid "chat_knowledge"
|
||||
msgstr "chat_knowledge"
|
||||
|
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#: ../../getting_started/application/kbqa/kbqa.md:7
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:10
|
||||
#: 86856cce95c845eb83ed44d8713b0ef6 f787e9ad9f7444a5923fe3476ab4d287
|
||||
#: 15d2742a567f4f2bb669086523691d11 d2228fc5179440729b594c9ac0626c2c
|
||||
msgid "KBQA abilities"
|
||||
msgstr "KBQA现有能力"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:11
|
||||
#: df1c88b28a2d46b2b3f5fae1caec000e
|
||||
#: f7d0eac20e6d46fc8090f6d8c8786306
|
||||
msgid "Knowledge Space."
|
||||
msgstr "知识空间"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:12
|
||||
#: 7f6c99d0c1394f08b246daa1343c24b2
|
||||
#: efde56662dbd4d7687fff81e2983e365
|
||||
msgid "Multi Source Knowledge Source Embedding."
|
||||
msgstr "多数据源Embedding"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:13
|
||||
#: 3c1274c3e65f426bbee219227f681e27
|
||||
#: 6788330bed0948b1804723540cbebe7b
|
||||
msgid "Embedding Argument Adjust"
|
||||
msgstr "Embedding参数自定义"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:14
|
||||
#: 52fb29f7ee8745e6b78145f5be23b8ce
|
||||
#: f7b04ae3bc3949bda0c8d1153953cabf
|
||||
msgid "Chat Knowledge"
|
||||
msgstr "知识问答"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:15
|
||||
#: 83e427c46d844c6a9bb5954342ae7c42
|
||||
#: 7c6365cf0026441d91e1d8ad7b97ff00
|
||||
msgid "Multi Vector DB"
|
||||
msgstr "多向量数据库管理"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:19
|
||||
#: 07c1e189d0f84db69b6a51cf23ede7dc
|
||||
#: e03c3631efc94e339fae6493b0866c44
|
||||
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:21
|
||||
#: 670b9666927f4662872b80e648b13670
|
||||
msgid ""
|
||||
"If your DB type is Mysql or other DBTYPE, you will build kbqa service "
|
||||
"database schema."
|
||||
msgstr ""
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:23
|
||||
#: f4586b306b3542b4afaf431c0f215e98
|
||||
msgid "Mysql"
|
||||
msgstr ""
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:24
|
||||
#: 6c8ef148ec0f429ebbde6a8b6c1686f0
|
||||
msgid ""
|
||||
"$ mysql -h127.0.0.1 -uroot -paa12345678 < "
|
||||
"./assets/schema/knowledge_management.sql"
|
||||
msgstr ""
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:26
|
||||
#: 0ac3c50d793d4b9db9a8e2df72c46ec8
|
||||
msgid "or"
|
||||
msgstr ""
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:28
|
||||
#: 3572f74a11a1408eb1537f91fc2492f6
|
||||
msgid "execute DBGPT/assets/schema/knowledge_management.sql"
|
||||
msgstr ""
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:31
|
||||
#: 5ed3fd5cd4b547d5b01be4780ec11886
|
||||
msgid "Steps to KBQA In DB-GPT"
|
||||
msgstr "怎样一步一步使用KBQA"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:21
|
||||
#: 36e4195e5c3a4bedb7d11243e5705f0a
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:33
|
||||
#: 5d882ed64d4d49daa2e582f67aad6f88
|
||||
msgid "1.Create Knowledge Space"
|
||||
msgstr "1.首先创建知识空间"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:22
|
||||
#: 5c92d41df2b04374a6c7ce40308f738b
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:34
|
||||
#: bfdb91ff12c04094964d9f8a0c9bbfac
|
||||
msgid ""
|
||||
"If you are using Knowledge Space for the first time, you need to create a"
|
||||
" Knowledge Space and set your name, owner, description. "
|
||||
""
|
||||
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:22
|
||||
#: c5f6e842be384977be1bd667b1e0ab5d
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:34
|
||||
#: ddbcb1112d5942db987a470bb935e1e4
|
||||
msgid "create_space"
|
||||
msgstr "create_space"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:27
|
||||
#: c98434920955416ca5273892f9086bc5
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:39
|
||||
#: da62c5b0796c47f0a5e482e79e70e352
|
||||
msgid "2.Create Knowledge Document"
|
||||
msgstr "2.上传知识"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:28
|
||||
#: d63f798e8270455587d1afd98c72e995
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:40
|
||||
#: 89e5377735f24f1d854f85ca4a387063
|
||||
msgid ""
|
||||
"DB-GPT now support Multi Knowledge Source, including Text, WebUrl, and "
|
||||
"Document(PDF, Markdown, Word, PPT, HTML and CSV). After successfully "
|
||||
@ -111,208 +147,209 @@ msgid ""
|
||||
"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"
|
||||
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:30
|
||||
#: 18becde7bdc34e9cb7017ff7711d1634
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:42
|
||||
#: afd3140206664d079047e9225be40dc1
|
||||
msgid "2.1 Choose Knowledge Type:"
|
||||
msgstr "2.1 选择知识类型"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:31
|
||||
#: 755dfd18812249e591647d233ec9253b
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:43
|
||||
#: 0ea63130eb5741979a9603a768b759e6
|
||||
msgid ""
|
||||
msgstr ""
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:31
|
||||
#: 10faa2236fa84dc284f7ce6d68acc43c
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:43
|
||||
#: cf7aacec8463485a811a1aa06d30f050
|
||||
msgid "document"
|
||||
msgstr "document"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:33
|
||||
#: 04449bfa78b14d1cb42c1259f67531d1
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:45
|
||||
#: 0db8df4eb26b4139816e586136098c9b
|
||||
msgid "2.2 Upload Document:"
|
||||
msgstr "2.2上传文档"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:34
|
||||
#: de14e2d7a6c54623bfc8af2fc6e20c62
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:46
|
||||
#: e4331acfd6a24a2094cbbe21fd46ac8b
|
||||
msgid ""
|
||||
msgstr ""
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:34
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:38
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:43
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:56
|
||||
#: 0e3ab13b9d064b238fba283d6f466051 65ea0b9b43ef4c64897a6e65781129c7
|
||||
#: cb65cb968a91492d9526f47e74b179e1 f0ff29911159497fb542942b6deb6972
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:46
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:50
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:55
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:68
|
||||
#: b8e7fc9cf2ef42fa8313d5f0b0c0e0ba
|
||||
msgid "upload"
|
||||
msgstr "upload"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:37
|
||||
#: 77d936d2502f41feb2721da86cc1ebb1
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:49
|
||||
#: e5a87f0715a642f58cae29ce43d72648
|
||||
msgid "3.Chat With Knowledge"
|
||||
msgstr "3.知识问答"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:38
|
||||
#: ae72c3236e564949b142a945f3474425
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:50
|
||||
#: cefec99c30ab4757896b328371725dd7
|
||||
msgid ""
|
||||
msgstr ""
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:40
|
||||
#: b9d701985d404a9196bb896718f41e36
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:52
|
||||
#: 5d870c26dfaa4916a5e17646d835c5fd
|
||||
msgid "4.Adjust Space arguments"
|
||||
msgstr "4.调整知识参数"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:41
|
||||
#: 6155bbf401ef44ea8d761c83ae5ceb9a
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:53
|
||||
#: 56afbbc1dc144c43be0b3e5ff8c3eb55
|
||||
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:42
|
||||
#: b9ac70b5ee99435a962dcb040b5ba4fc
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:54
|
||||
#: 994eb05bc17148608f5efc03a12797ff
|
||||
msgid "4.1 Embedding"
|
||||
msgstr "4.1 Embedding"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:43
|
||||
#: 0ca2398756924828a904921456b863b5
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:55
|
||||
#: ab00c34d964a4a0ab6472a4ab68c6b9a
|
||||
msgid "Embedding Argument "
|
||||
msgstr "Embedding Argument "
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:47
|
||||
#: e8b3e973e3b940e4bbf3180b7d6057ec
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:59
|
||||
#: 0bdc576f5c4f4d46b84dfd3e57e2e004
|
||||
msgid "Embedding arguments"
|
||||
msgstr "Embedding arguments"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:48
|
||||
#: 1cff4790d546455abeca725ae8b53c0d
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:60
|
||||
#: 515ed658cf8742e1898df7b6b0ed8fec
|
||||
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:49
|
||||
#: 525aaa02028b4900919526290b6da9ef
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:61
|
||||
#: b2cec278eee640c2b1dea2e52032ca16
|
||||
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:50
|
||||
#: dead3b559b134e52a3cf38e29b1982e1
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:62
|
||||
#: ba0a2a2ff9454a7598d2217b8aefa565
|
||||
msgid "recall_type:recall type."
|
||||
msgstr "recall_type:召回类型"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:51
|
||||
#: 7c48de3186a14fcf96ee2bc6d715bd4c
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:63
|
||||
#: b33b6627142d41c4a4e83b56d446c0c7
|
||||
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:52
|
||||
#: 875ba3d051b847a5b3357a4eef583c0a
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:64
|
||||
#: 9113a950faca4515967a905256a29e8e
|
||||
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:53
|
||||
#: e43f2bb091594532ba69ed3e3a385cdd
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:65
|
||||
#: dccc04f7efae40309ecaccb33375cf9c
|
||||
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:55
|
||||
#: e21e19688fa042a4b60860ffa6bcf119
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:67
|
||||
#: 1740d538f7e7427a8f031b9e1e045f15
|
||||
msgid "4.2 Prompt"
|
||||
msgstr "4.2 Prompt"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:56
|
||||
#: 00f0bddcd9174b7a84a25b7fe6d286e9
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:68
|
||||
#: a0faf9300f804cc1b99371946c1c86e0
|
||||
msgid "Prompt Argument "
|
||||
msgstr "Prompt Argument "
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:60
|
||||
#: d5ff2b76a04949708b3c9050db647927
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:72
|
||||
#: b8e6d1b4afdb4dcca99ed23107f3da0b
|
||||
msgid "Prompt arguments"
|
||||
msgstr "Prompt arguments"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:61
|
||||
#: 817a8744378546a2b049f44793b4554b
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:73
|
||||
#: 9d3acae04dae4beb86577e58a9f0a8ed
|
||||
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:62
|
||||
#: 5330c26a4fc34ff6ba5fea1910cfbdc0
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:74
|
||||
#: f33e888dd6494330a36ee4b091aa2f3a
|
||||
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。"
|
||||
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:63
|
||||
#: a34cd8248e6b44228868c2a02e12466f
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:75
|
||||
#: 18337db544f4428ba32622a0d7d711f3
|
||||
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:65
|
||||
#: 7da49aac293f462b9e3968fa1493dba1
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:77
|
||||
#: 531a209f474246249ffaf66dec484dcc
|
||||
msgid "5.Change Vector Database"
|
||||
msgstr "5.Change Vector Database"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:67
|
||||
#: 680bfb451eb040e0aa55f8faa12bb75a
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:79
|
||||
#: d6665f2efd73412a9dd5ac2ffd88b369
|
||||
msgid "Vector Store SETTINGS"
|
||||
msgstr "Vector Store SETTINGS"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:68
|
||||
#: 32820ae6807840119a786e92124ad209
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:80
|
||||
#: 8a6f5b7af5b942928a76556425d943bd
|
||||
msgid "Chroma"
|
||||
msgstr "Chroma"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:69
|
||||
#: 7573aa05bc914fc2993b2531475b3b99
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:81
|
||||
#: bbde039fef3445bf84cc2ded916e6960
|
||||
msgid "VECTOR_STORE_TYPE=Chroma"
|
||||
msgstr "VECTOR_STORE_TYPE=Chroma"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:70
|
||||
#: cc2c5521ba6e417eb5b3cf96375c2a08
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:82
|
||||
#: 984d7eceee8c474880174f3a3ba0df7a
|
||||
msgid "MILVUS"
|
||||
msgstr "MILVUS"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:71
|
||||
#: fc5dfa54c8a24b069e2709c309e43faa
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:83
|
||||
#: 8dbf41b03c58457896c4a9595fcb9517
|
||||
msgid "VECTOR_STORE_TYPE=Milvus"
|
||||
msgstr "VECTOR_STORE_TYPE=Milvus"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:72
|
||||
#: 8661384f0c4a40a0b79fad94bbee1792
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:84
|
||||
#: 853a391ff6fc47af90e8fbaea06ee948
|
||||
msgid "MILVUS_URL=127.0.0.1"
|
||||
msgstr "MILVUS_URL=127.0.0.1"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:73
|
||||
#: 2035d343d34f47fa9fa84eb841afa2f8
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:85
|
||||
#: ef21d47a76eb495dbafb3dd0e99ae3b2
|
||||
msgid "MILVUS_PORT=19530"
|
||||
msgstr "MILVUS_PORT=19530"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:74
|
||||
#: e0d8bd8d1dfb425bb50d5c8bf4a134ab
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:86
|
||||
#: c06ba32595bb4572a468f8ca277c30fd
|
||||
msgid "MILVUS_USERNAME"
|
||||
msgstr "MILVUS_USERNAME"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:75
|
||||
#: dec547e6b4354c71857fa7c92c08bfa6
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:87
|
||||
#: f09d2171e98c4b379cb7548715b3f60f
|
||||
msgid "MILVUS_PASSWORD"
|
||||
msgstr "MILVUS_PASSWORD"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:76
|
||||
#: 9ad3f325f79e49309bd3419f48015e90
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:88
|
||||
#: e0f8de6b5bfb4689be9a7777796e5477
|
||||
msgid "MILVUS_SECURE="
|
||||
msgstr "MILVUS_SECURE="
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:78
|
||||
#: f6e15bf479da496fbcdf7621bad4dda8
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:90
|
||||
#: 15fee5a1d2d9404f955a27d77656b690
|
||||
msgid "WEAVIATE"
|
||||
msgstr "WEAVIATE"
|
||||
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:79
|
||||
#: f7838d5de0a9452486adceb3a26369ee
|
||||
#: ../../getting_started/application/kbqa/kbqa.md:91
|
||||
#: 632fe609a7694d51b4b908fed5a80415
|
||||
msgid "WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.network"
|
||||
msgstr "WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.networkc"
|
||||
|
||||
|
||||
@ -22,7 +22,7 @@ msgstr ""
|
||||
#: ../../getting_started/faq/chatdb/chatdb_faq.md:1
|
||||
#: ffd1abb6b8f34e53a8ed83ede845b141
|
||||
msgid "Chat DB FAQ"
|
||||
msgstr ""
|
||||
msgstr "Chat DB FAQ"
|
||||
|
||||
#: ../../getting_started/faq/chatdb/chatdb_faq.md:3
|
||||
#: 2467f6603ab341bbb1ce17f75dc06e5e
|
||||
@ -35,27 +35,28 @@ msgid ""
|
||||
"ChatData generates SQL from natural language and executes it. ChatDB "
|
||||
"involves conversing with metadata from the Database, including metadata "
|
||||
"about databases, tables, and fields."
|
||||
msgstr ""
|
||||
msgstr "ChatData 是将自然语言转换成SQL并执行获取结果，ChatDB主要是和数据库元数据信息（包括表、字段、索引信息）， 用于db诊断和数据库答疑"
|
||||
|
||||
#: ../../getting_started/faq/chatdb/chatdb_faq.md:6
|
||||
#: fa3eef15697f43db963f6c875e85323b
|
||||
msgid "Q2: The suitable llm model currently supported for text-to-SQL is?"
|
||||
msgstr ""
|
||||
msgstr "Q2: 目前DB-GPT最适合text-to-SQL的开源模型是什么"
|
||||
|
||||
#: ../../getting_started/faq/chatdb/chatdb_faq.md:7
|
||||
#: 47f36a0a48c045269bcf790873d55f8c
|
||||
msgid "Now vicunna-13b-1.5 and llama2-70b is more suitable for text-to-SQL."
|
||||
msgstr ""
|
||||
msgstr "vicunna-13b-1.5 和 llama2-70b"
|
||||
|
||||
#: ../../getting_started/faq/chatdb/chatdb_faq.md:9
|
||||
#: 9f5ef9a05fac4eb3b27875171ec4e763
|
||||
msgid "Q3: How to fine-tune Text-to-SQL in DB-GPT"
|
||||
msgstr ""
|
||||
msgstr "Q3: 我想fine-tune Text-to-SQL in DB-GPT"
|
||||
|
||||
#: ../../getting_started/faq/chatdb/chatdb_faq.md:10
|
||||
#: c9b6f6e969e04805a59d9ccabc03c0b8
|
||||
msgid ""
|
||||
"there is another github project for Text-to-SQL fine-tune "
|
||||
"(https://github.com/eosphoros-ai/DB-GPT-Hub)"
|
||||
msgstr ""
|
||||
msgstr "参与另外一个项目 Text-to-SQL fine-tune "
|
||||
"(https://github.com/eosphoros-ai/DB-GPT-Hub)"
|
||||
|
||||
|
||||
@ -8,7 +8,7 @@ msgid ""
|
||||
msgstr ""
|
||||
"Project-Id-Version: DB-GPT 👏👏 0.3.5\n"
|
||||
"Report-Msgid-Bugs-To: \n"
|
||||
"POT-Creation-Date: 2023-08-16 18:31+0800\n"
|
||||
"POT-Creation-Date: 2023-08-18 14:11+0800\n"
|
||||
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
|
||||
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
|
||||
"Language: zh_CN\n"
|
||||
@ -20,34 +20,34 @@ msgstr ""
|
||||
"Generated-By: Babel 2.12.1\n"
|
||||
|
||||
#: ../../getting_started/faq/kbqa/kbqa_faq.md:1
|
||||
#: bce4fd8751dd49bb8ab89a651094cfe1
|
||||
#: 348b327c869643c8baaafaddb9e7e6d4
|
||||
msgid "KBQA FAQ"
|
||||
msgstr ""
|
||||
msgstr "KBQA FAQ"
|
||||
|
||||
#: ../../getting_started/faq/kbqa/kbqa_faq.md:4
|
||||
#: c9714f70a03f422fae7bdb2b3b3c8be5
|
||||
#: b2d05eeaec0b445ab3283e0e4eee028a
|
||||
msgid "Q1: text2vec-large-chinese not found"
|
||||
msgstr ""
|
||||
msgstr "Q1: text2vec-large-chinese not found"
|
||||
|
||||
#: ../../getting_started/faq/kbqa/kbqa_faq.md:6
|
||||
#: 1c56b9081adb46b29063947659e67083
|
||||
#: d64bad7091de4b439ab80cd754b3e68f
|
||||
msgid ""
|
||||
"make sure you have download text2vec-large-chinese embedding model in "
|
||||
"right way"
|
||||
msgstr ""
|
||||
msgstr "确认下载text2vec-large-chinese模型姿势以及路径正确"
|
||||
|
||||
#: ../../getting_started/faq/kbqa/kbqa_faq.md:18
|
||||
#: 39763bdbc6824675b293f0f219fc05bb
|
||||
#: 15a4987b681241cfa6dc4fc08dbebce3
|
||||
msgid "Q2:How to change Vector DB Type in DB-GPT."
|
||||
msgstr ""
|
||||
msgstr "怎么修改向量数据库类型"
|
||||
|
||||
#: ../../getting_started/faq/kbqa/kbqa_faq.md:20
|
||||
#: 225cc6e5b6944ce3b675845aa93afb66
|
||||
#: 6566d91820334c8fac964fe7e012acc7
|
||||
msgid "Update .env file and set VECTOR_STORE_TYPE."
|
||||
msgstr ""
|
||||
msgstr "怎样在.env文件设置VECTOR_STORE_TYPE"
|
||||
|
||||
#: ../../getting_started/faq/kbqa/kbqa_faq.md:22
|
||||
#: 5ad12db4aed44f4890911b5aea9529ce
|
||||
#: 124dfe106c4b4afeadf0f2bc4b146f50
|
||||
msgid ""
|
||||
"DB-GPT currently support Chroma(Default), Milvus(>2.1), Weaviate vector "
|
||||
"database. If you want to change vector db, Update your .env, set your "
|
||||
@ -55,44 +55,57 @@ msgid ""
|
||||
"Milvus(>2.1), if you set Milvus, please set MILVUS_URL and MILVUS_PORT) "
|
||||
"If you want to support more vector db, you can integrate yourself.[how to"
|
||||
" integrate](https://db-gpt.readthedocs.io/en/latest/modules/vector.html)"
|
||||
msgstr ""
|
||||
msgstr "DB-GPT当前支持向量数据库有Chroma(Default), Milvus(>2.1), Weaviate. 可以在在.env文件设置VECTOR_STORE_TYP，如果你想支持更多向量数据库， 参考[how to"
|
||||
" integrate](https://db-gpt.readthedocs.io/en/latest/modules/vector.html)"
|
||||
|
||||
|
||||
#: ../../getting_started/faq/kbqa/kbqa_faq.md:38
|
||||
#: f8dd19ff86244cc7be91b7ab9190baeb
|
||||
#: 5da7eb1fda5d43268eda0fab9d387dbb
|
||||
msgid "Q3:When I use vicuna-13b, found some illegal character like this."
|
||||
msgstr ""
|
||||
msgstr "当使用vicuna系列模型时出现乱码。"
|
||||
|
||||
#: ../../getting_started/faq/kbqa/kbqa_faq.md:43
|
||||
#: ec4a69476d4e4e4d92619ade829c2b39
|
||||
#: 80f9785ca43f4f8a9475556bffab28a7
|
||||
msgid ""
|
||||
"Set KNOWLEDGE_SEARCH_TOP_SIZE smaller or set KNOWLEDGE_CHUNK_SIZE "
|
||||
"smaller, and reboot server."
|
||||
msgstr ""
|
||||
msgstr "通过在.env文件将KNOWLEDGE_SEARCH_TOP_SIZE设置更小点或者在文档界面点击参数设置，将topk设置更小点"
|
||||
|
||||
#: ../../getting_started/faq/kbqa/kbqa_faq.md:45
|
||||
#: 5b039a860c0b4cb088d042467ad2a49c
|
||||
#: 7627f9349fbb40968537866075e53541
|
||||
msgid ""
|
||||
"Q4:space add error (pymysql.err.OperationalError) (1054, \"Unknown column"
|
||||
" 'knowledge_space.context' in 'field list'\")"
|
||||
msgstr ""
|
||||
msgstr "space add error (pymysql.err.OperationalError) (1054, \"Unknown column"
|
||||
" 'knowledge_space.context' in 'field list'\")"
|
||||
|
||||
#: ../../getting_started/faq/kbqa/kbqa_faq.md:47
|
||||
#: bafac5e248894263a77ab688922df520
|
||||
#: e4c8bc526f1744ca880fd0f5faaa18c6
|
||||
msgid "1.shutdown dbgpt_server(ctrl c)"
|
||||
msgstr ""
|
||||
msgstr "1.终止 dbgpt_server(ctrl c)"
|
||||
|
||||
#: ../../getting_started/faq/kbqa/kbqa_faq.md:49
|
||||
#: 8ff5ca901f684e8ebe951f8c053ab925
|
||||
#: 25762770ad7b4e52aa60c1b8a274331b
|
||||
msgid "2.add column context for table knowledge_space"
|
||||
msgstr ""
|
||||
msgstr "2.新增列 `context` for table knowledge_space"
|
||||
|
||||
#: ../../getting_started/faq/kbqa/kbqa_faq.md:53
|
||||
#: ea9f945678aa426894f0a12013f8fe5c
|
||||
#: b025ea011b704eaab5413514a00ada4a
|
||||
msgid "3.execute sql ddl"
|
||||
msgstr ""
|
||||
msgstr "3.执行ddl"
|
||||
|
||||
#: ../../getting_started/faq/kbqa/kbqa_faq.md:58
|
||||
#: 1a7941f2f1e94d359095e92b470ee02c
|
||||
#: 2c25d510b7cc4386a962be130232f39c
|
||||
msgid "4.restart dbgpt serve"
|
||||
msgstr ""
|
||||
msgstr "4.重启dbgpt server"
|
||||
|
||||
#: ../../getting_started/faq/kbqa/kbqa_faq.md:60
|
||||
#: 36aedd2404e84caf90fa6565fc05ee1f
|
||||
msgid "Q5:Use Mysql, how to use DB-GPT KBQA"
|
||||
msgstr "Q5:当使用 Mysql数据库时, 使用DB-GPT怎么初始化 KBQA service database schema"
|
||||
|
||||
#: ../../getting_started/faq/kbqa/kbqa_faq.md:61
|
||||
#: bb01d8d145f64038bbacde1f05e69be1
|
||||
msgid "build Mysql KBQA system database schema."
|
||||
msgstr "构建Mysql KBQA system database schema"
|
||||
|
||||
|
||||
@ -21,67 +21,68 @@ msgstr ""
|
||||
|
||||
#: ../../getting_started/faq/llm/llm_faq.md:1 f79c82f385904385b08618436e600d9f
|
||||
msgid "LLM USE FAQ"
|
||||
msgstr ""
|
||||
msgstr "LLM模型使用FAQ"
|
||||
|
||||
#: ../../getting_started/faq/llm/llm_faq.md:3 1fc802fa69224062b02403bc35084c18
|
||||
msgid "Q1:how to use openai chatgpt service"
|
||||
msgstr ""
|
||||
msgstr "我怎么使用OPENAI服务"
|
||||
|
||||
#: ../../getting_started/faq/llm/llm_faq.md:4 9094902d148a4cc99fe72aa0e41062ae
|
||||
msgid "change your LLM_MODEL"
|
||||
msgstr ""
|
||||
msgstr "通过在.env文件设置LLM_MODEL"
|
||||
|
||||
#: ../../getting_started/faq/llm/llm_faq.md:9 07073eb8d9eb4988a3b035666c63d3fb
|
||||
msgid "set your OPENAPI KEY"
|
||||
msgstr ""
|
||||
msgstr "set your OPENAPI KEY"
|
||||
|
||||
#: ../../getting_started/faq/llm/llm_faq.md:15 a71bb0d1181e47368a286b5694a00056
|
||||
msgid "make sure your openapi API_KEY is available"
|
||||
msgstr ""
|
||||
msgstr "确认openapi API_KEY是否可用"
|
||||
|
||||
#: ../../getting_started/faq/llm/llm_faq.md:17 789b003864824970923bac474a9ab0cd
|
||||
msgid "Q2 how to use MultiGPUs"
|
||||
msgstr ""
|
||||
msgstr "Q2 怎么使用 MultiGPUs"
|
||||
|
||||
#: ../../getting_started/faq/llm/llm_faq.md:18 4be3dd71a8654202a210bcb11c50cc79
|
||||
msgid ""
|
||||
"DB-GPT will use all available gpu by default. And you can modify the "
|
||||
"setting `CUDA_VISIBLE_DEVICES=0,1` in `.env` file to use the specific gpu"
|
||||
" IDs."
|
||||
msgstr ""
|
||||
msgstr "DB-GPT默认加载可利用的gpu，你也可以通过修改 在`.env`文件 `CUDA_VISIBLE_DEVICES=0,1`来指定gpu IDs"
|
||||
|
||||
#: ../../getting_started/faq/llm/llm_faq.md:20 3a00c5fff666451cacda7f9af37564b9
|
||||
msgid ""
|
||||
"Optionally, you can also specify the gpu ID to use before the starting "
|
||||
"command, as shown below:"
|
||||
msgstr ""
|
||||
msgstr "你也可以指定gpu ID启动"
|
||||
|
||||
#: ../../getting_started/faq/llm/llm_faq.md:30 7fef386f3a3443569042e7d8b9a3ff15
|
||||
msgid ""
|
||||
"You can modify the setting `MAX_GPU_MEMORY=xxGib` in `.env` file to "
|
||||
"configure the maximum memory used by each GPU."
|
||||
msgstr ""
|
||||
msgstr "同时你可以通过在.env文件设置`MAX_GPU_MEMORY=xxGib`修改每个GPU的最大使用内存"
|
||||
|
||||
#: ../../getting_started/faq/llm/llm_faq.md:32 d75d440da8ab49a3944c3a456db25bee
|
||||
msgid "Q3 Not Enough Memory"
|
||||
msgstr ""
|
||||
msgstr "Q3 机器显存不够 "
|
||||
|
||||
#: ../../getting_started/faq/llm/llm_faq.md:34 2a2cd59382e149ffb623cb3d42754dca
|
||||
msgid "DB-GPT supported 8-bit quantization and 4-bit quantization."
|
||||
msgstr ""
|
||||
msgstr "DB-GPT 支持 8-bit quantization 和 4-bit quantization."
|
||||
|
||||
#: ../../getting_started/faq/llm/llm_faq.md:36 755131812baa4f5a99b706849459e10a
|
||||
msgid ""
|
||||
"You can modify the setting `QUANTIZE_8bit=True` or `QUANTIZE_4bit=True` "
|
||||
"in `.env` file to use quantization(8-bit quantization is enabled by "
|
||||
"default)."
|
||||
msgstr ""
|
||||
msgstr "你可以通过在.env文件设置`QUANTIZE_8bit=True` or `QUANTIZE_4bit=True`"
|
||||
|
||||
#: ../../getting_started/faq/llm/llm_faq.md:38 b85424bc11134af985f687d8ee8d2c9f
|
||||
msgid ""
|
||||
"Llama-2-70b with 8-bit quantization can run with 80 GB of VRAM, and 4-bit"
|
||||
" quantization can run with 48 GB of VRAM."
|
||||
msgstr ""
|
||||
msgstr "Llama-2-70b with 8-bit quantization 可以运行在 80 GB VRAM机器， 4-bit "
|
||||
"quantization可以运行在 48 GB VRAM"
|
||||
|
||||
#: ../../getting_started/faq/llm/llm_faq.md:40 b6e4db679636492c9e4170a33fd6f638
|
||||
msgid ""
|
||||
|
||||
@ -389,8 +389,8 @@ msgid ""
|
||||
"Llama-2-70b with 8-bit quantization can run with 80 GB of VRAM, and 4-bit"
|
||||
" quantization can run with 48 GB of VRAM."
|
||||
msgstr ""
|
||||
"Llama-2-70b with 8-bit quantization 可以运行在 80 GB VRAM机器， 4-bit "
|
||||
"quantization 可以运行在 48 GB VRAM"
|
||||
"Llama-2-70b with 8-bit quantization 可以运行在80GB VRAM机器， 4-bit "
|
||||
"quantization可以运行在 48 GB VRAM"
|
||||
|
||||
#: ../../getting_started/install/deploy/deploy.md:147
|
||||
#: 9b6085c41b5c4b96ac3e917dc5002fc2
|
||||
|
||||
@ -118,7 +118,7 @@ async def db_connect_delete(db_name: str = None):
|
||||
|
||||
@router.get("/v1/chat/db/support/type", response_model=Result[DbTypeInfo])
|
||||
async def db_support_types():
|
||||
support_types = [DBType.Mysql, DBType.MSSQL, DBType.DuckDb]
|
||||
support_types = [DBType.Mysql, DBType.MSSQL, DBType.DuckDb, DBType.SQLite]
|
||||
db_type_infos = []
|
||||
for type in support_types:
|
||||
db_type_infos.append(
|
||||
|
||||
@ -1,8 +1,8 @@
|
||||
from pilot.vector_store.chroma_store import ChromaStore
|
||||
|
||||
from pilot.vector_store.weaviate_store import WeaviateStore
|
||||
# from pilot.vector_store.weaviate_store import WeaviateStore
|
||||
|
||||
connector = {"Chroma": ChromaStore, "Weaviate": WeaviateStore}
|
||||
connector = {"Chroma": ChromaStore}
|
||||
|
||||
try:
|
||||
from pilot.vector_store.milvus_store import MilvusStore
|
||||
|
||||
Loading…
Reference in New Issue
Block a user