diff --git a/docs/getting_started/application/kbqa/kbqa.md b/docs/getting_started/application/kbqa/kbqa.md
index eb1e4acd8..88340e2c2 100644
--- a/docs/getting_started/application/kbqa/kbqa.md
+++ b/docs/getting_started/application/kbqa/kbqa.md
@@ -15,6 +15,18 @@ DB-GPT supports a knowledge question-answering module, which aims to create an i
 * Multi Vector DB
 ```
 
+```{note}
+If your DB type is Sqlite, there is nothing to do to build KBQA service database schema.
+
+If your DB type is Mysql or other DBTYPE, you will build kbqa service database schema.
+
+### Mysql
+$ mysql -h127.0.0.1 -uroot -paa12345678 < ./assets/schema/knowledge_management.sql
+
+or 
+
+execute DBGPT/assets/schema/knowledge_management.sql
+```
 
 ## Steps to KBQA In DB-GPT
 
diff --git a/docs/getting_started/faq/kbqa/kbqa_faq.md b/docs/getting_started/faq/kbqa/kbqa_faq.md
index adf667a3c..b1835d7dc 100644
--- a/docs/getting_started/faq/kbqa/kbqa_faq.md
+++ b/docs/getting_started/faq/kbqa/kbqa_faq.md
@@ -47,12 +47,24 @@ Set KNOWLEDGE_SEARCH_TOP_SIZE smaller or set KNOWLEDGE_CHUNK_SIZE smaller, and r
 1.shutdown dbgpt_server(ctrl c)
 
 2.add column context for table knowledge_space
+
 ```commandline
 mysql -h127.0.0.1 -uroot -paa12345678
 ```
+
 3.execute sql ddl
+
 ```commandline
 mysql> use knowledge_management;
 mysql> ALTER TABLE knowledge_space ADD COLUMN context TEXT COMMENT "arguments context";
 ```
-4.restart dbgpt serve
\ No newline at end of file
+
+4.restart dbgpt serve
+
+##### Q5:Use Mysql, how to use DB-GPT KBQA
+
+build Mysql KBQA system database schema.
+
+```bash
+$ mysql -h127.0.0.1 -uroot -paa12345678 < ./assets/schema/knowledge_management.sql
+```
\ No newline at end of file
diff --git a/docs/getting_started/install.rst b/docs/getting_started/install.rst
index 6a188e85e..abb90ed6e 100644
--- a/docs/getting_started/install.rst
+++ b/docs/getting_started/install.rst
@@ -2,7 +2,7 @@ Install
 ==================================
 DB-GPT product is a Web application that you can chat database, chat knowledge, text2dashboard.
 
-.. image:: ./assets/DB-GPT-Product.jpg
+.. image:: https://github.com/eosphoros-ai/DB-GPT/assets/13723926/13d68dd5-d052-4976-9aeb-60ae13d63d02
 
 
 - deploy
diff --git a/docs/locales/zh_CN/LC_MESSAGES/getting_started/application/kbqa/kbqa.po b/docs/locales/zh_CN/LC_MESSAGES/getting_started/application/kbqa/kbqa.po
index 577979d80..c57a1769b 100644
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/application/kbqa/kbqa.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/application/kbqa/kbqa.po
@@ -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"
@@ -20,12 +20,12 @@ msgstr ""
 "Generated-By: Babel 2.12.1\n"
 
 #: ../../getting_started/application/kbqa/kbqa.md:1
-#: a06d9329c98f44ffaaf6fc09ba53d97e
+#: c342c2c426ca40458d0de471f729bc42
 msgid "KBQA"
 msgstr ""
 
 #: ../../getting_started/application/kbqa/kbqa.md:3
-#: bb6943c115754b1fafb7467313100753
+#: 5bd2a6513a1f4560a94b85e28345b030
 msgid ""
 "DB-GPT supports a knowledge question-answering module, which aims to "
 "create an intelligent expert in the field of databases and provide "
@@ -33,76 +33,112 @@ msgid ""
 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:5
-#: a13ac963479e4d4fbcbcc4fec7863274
+#: fb32ebbf11ec4f3f925f0dc157e5bb1e
 msgid "![chat_knowledge](../../../../assets/chat_knowledge.png)"
 msgstr "![chat_knowledge](../../../../assets/chat_knowledge.png)"
 
 #: ../../getting_started/application/kbqa/kbqa.md:5
-#: f4db3a8d04634059a74be1b2b3c948ef
+#: e44acc4009154e3396ebc8c69922c4e8
 msgid "chat_knowledge"
 msgstr "chat_knowledge"
 
 #: ../../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. "
 "![create_space](../../../../assets/kbqa/create_space.png)"
 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 "![document](../../../../assets/kbqa/document.jpg)"
 msgstr "![document](../../../../assets/kbqa/document.jpg)"
 
-#: ../../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 "![upload](../../../../assets/kbqa/upload.jpg)"
 msgstr "![upload](../../../../assets/kbqa/upload.jpg)"
 
-#: ../../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 "![upload](../../../../assets/kbqa/begin_chat.jpg)"
 msgstr "![upload](../../../../assets/kbqa/begin_chat.jpg)"
 
-#: ../../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 ![upload](../../../../assets/kbqa/embedding.png)"
 msgstr "Embedding Argument ![upload](../../../../assets/kbqa/embedding.png)"
 
-#: ../../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 ![upload](../../../../assets/kbqa/prompt.png)"
 msgstr "Prompt Argument ![upload](../../../../assets/kbqa/prompt.png)"
 
-#: ../../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"
 
diff --git a/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/chatdb/chatdb_faq.po b/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/chatdb/chatdb_faq.po
index dbc03b315..b0084b477 100644
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/chatdb/chatdb_faq.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/chatdb/chatdb_faq.po
@@ -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)"
 
diff --git a/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/kbqa/kbqa_faq.po b/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/kbqa/kbqa_faq.po
index 1b352e972..885826ddd 100644
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/kbqa/kbqa_faq.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/kbqa/kbqa_faq.po
@@ -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"
 
diff --git a/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/llm/llm_faq.po b/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/llm/llm_faq.po
index 260d2dd09..4be1ae177 100644
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/llm/llm_faq.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/llm/llm_faq.po
@@ -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 ""
diff --git a/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/deploy/deploy.po b/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/deploy/deploy.po
index 44440d3f1..bf570d9b1 100644
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/deploy/deploy.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/deploy/deploy.po
@@ -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
diff --git a/pilot/vector_store/connector.py b/pilot/vector_store/connector.py
index eaa202e72..d95fc4821 100644
--- a/pilot/vector_store/connector.py
+++ b/pilot/vector_store/connector.py
@@ -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