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#: ../../use_cases/knownledge_based_qa.md:1 ddfe412b92e14324bdc11ffe58114e5f
msgid "Knownledge based qa"
msgstr "知识问答"

#: ../../use_cases/knownledge_based_qa.md:3 48635316cc704a779089ff7b5cb9a836
msgid ""
"Chat with your own knowledge is a very interesting thing. In the usage "
"scenarios of this chapter, we will introduce how to build your own "
"knowledge base through the knowledge base API. Firstly, building a "
"knowledge store can currently be initialized by executing \"python "
"tool/knowledge_init.py\" to initialize the content of your own knowledge "
"base, which was introduced in the previous knowledge base module. Of "
"course, you can also call our provided knowledge embedding API to store "
"knowledge."
msgstr ""
"用自己的知识聊天是一件很有趣的事情。在本章的使用场景中，我们将介绍如何通过知识库API构建自己的知识库。首先，构建知识存储目前可以通过执行“python"
" "
"tool/knowledge_init.py”来初始化您自己的知识库的内容，这在前面的知识库模块中已经介绍过了。当然，你也可以调用我们提供的知识嵌入API来存储知识。"

#: ../../use_cases/knownledge_based_qa.md:6 0a5c68429c9343cf8b88f4f1dddb18eb
#, fuzzy
msgid ""
"We currently support many document formats: txt, pdf, md, html, doc, ppt,"
" and url."
msgstr "“我们目前支持四种文件格式: txt, pdf, url, 和md。"

#: ../../use_cases/knownledge_based_qa.md:20 83f3544c06954e5cbc0cc7788f699eb1
msgid ""
"Now we currently support vector databases:  Chroma (default) and Milvus. "
"You can switch between them by modifying the \"VECTOR_STORE_TYPE\" field "
"in the .env file."
msgstr "“我们目前支持向量数据库:Chroma(默认)和Milvus。你可以通过修改.env文件中的“VECTOR_STORE_TYPE”参数在它们之间切换。"

#: ../../use_cases/knownledge_based_qa.md:31 ac12f26b81384fc4bf44ccce1c0d86b4
msgid "Below is an example of using the knowledge base API to query knowledge:"
msgstr "下面是一个使用知识库API进行查询的例子:"

