feat: ES VectorStore

[IamWWT]

Description

Close #1062
Close #79
Close #1483

已经验证通过的功能：
1）可以新建知识空间（支持英文数字组合，全中文组合的名称； 不支持中英文或者中文和数字字符混合的名称）
2）可以上传文档进行EMBEDDING。
3）可以逐个删除上传的每一个文档。
4）可以搜索对话。(引入了jieba分词算法jieba.analyse.textrank，后续可以根据语义优化，以便于更精准查找。)

How Has This Been Tested?

.env 文件里面配置如下四个变量后，其余的使用流程同"chat knowledge"知识对话使用流程。
VECTOR_STORE_TYPE=ElasticSearch
ElasticSearch_URL=127.0.0.1
ElasticSearch_PORT=9200
ElasticSearch_USERNAME=elastic
ElasticSearch_PASSWORD=i=+iLw9y0Jduq86XTi6W

为了方便方便查看es搜索匹配到的知识内容，elastic_store.py 代码文件写了一个“es_search_results.txt”到项目根目录下，若不需要，注释代码即可 (关键词：result_file) 。

Checklist:

• [ ok ] My code follows the style guidelines of this project
• [ ok ] I have already rebased the commits and make the commit message conform to the project standard.
• [ ok ] I have performed a self-review of my own code
• [ ok ] I have commented my code, particularly in hard-to-understand areas
• [ ok ] I have made corresponding changes to the documentation
• [ ok ] Any dependent changes have been merged and published in downstream modules

[Aries-ckt]

Amazing feature, thanks for your contribution, we will test that and merge it.

[csunny]

@IamWWT Hi, the Code style check failed. please use the black . and make fmt command to fix this. If you have problem about this, you can communicate with us at any time.

[IamWWT]

@IamWWT Hi, the Code style check failed. please use the black . and make fmt command to fix this. If you have problem about this, you can communicate with us at any time.

新的分支： 8b8a9b9

新的分支代码fix的执行方式：
1）black .
2）yapf -i dbgpt/storage/vector_store/elastic_store.py

[Aries-ckt]

hi, @IamWWT, I saw that you formatted other files that are not related to es_vector_store. Can you modify the files related to es?

[IamWWT]

hi, @IamWWT, I saw that you formatted other files that are not related to es_vector_store. Can you modify the files related to es?

修改第三次commit的分支： 3d7f77c

在第二次提交的基础上仅仅修改了本次新增es涉及的.py文件的：
1）black ：
2065 black elastic_store.py
2066 black init.py
2069 black service.py
2072 black config.py

2）yapf ：
2056 yapf -i dbgpt/storage/vector_store/elastic_store.py
2058 yapf -i dbgpt/storage/vector_store/init.py
2059 yapf -i dbgpt/app/knowledge/service.py
2060 yapf -i dbgpt/_private/config.py

[Aries-ckt]

Test Success!

1. download and run elasticsearch instance. reference https://www.elastic.co/guide/en/elasticsearch/reference/8.13/targz.html
2. install python dependency

pip install langchain
pip install elasticsearch

3. set ElasticSearch setting in .env

VECTOR_STORE_TYPE=ElasticSearch
ELASTICSEARCH_URL=127.0.0.1
ELASTICSEARCH_PORT=9200
ELASTICSEARCH_USERNAME=elastic
ELASTICSEARCH_PASSWORD="{YOUR_PASSWORD}"

3. start dbgpt_server

[Aries-ckt]

LGTM.

[fangyinc]

LGTM.

[csunny]

LGTM~

Close #1062
Close #79
Close #1483