Add TencentES client

[morning-color]

Tencent ES is not merely a vector database; it offers a more comprehensive one-stop AI search solution, surpassing the scope of single-point solutions provided by traditional vector databases. Its capabilities include but are not limited to document parsing, text chunking, embedding, model reranking, and LLM integration.
Welcome to experience: https://cloud.tencent.com/product/es .

[sre-ci-robot]

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[alwayslove2013]

Awesome work on this pull request! We really appreciate your contribution to the community!

[alwayslove2013]

I've noticed that the code here is very similar to the one for ElasticCloud. You can try to directly inherit from the ElasticCloud class and override any operations that are different. For specific practices, you can refer to

VectorDBBench/vectordb_bench/backend/clients/aliyun_elasticsearch/aliyun_elasticsearch.py

Lines 5 to 26 in cdd2a1e

	class AliyunElasticsearch(ElasticCloud):
	def __init__(
	self,
	dim: int,
	db_config: dict,
	db_case_config: ElasticCloudIndexConfig,
	indice: str = "vdb_bench_indice", # must be lowercase
	id_col_name: str = "id",
	vector_col_name: str = "vector",
	drop_old: bool = False,
	**kwargs,
	):
	super().__init__(
	dim=dim,
	db_config=db_config,
	db_case_config=db_case_config,
	indice=indice,
	id_col_name=id_col_name,
	vector_col_name=vector_col_name,
	drop_old=drop_old,
	**kwargs,
	)

[alwayslove2013]

It would be great if this CLI tool could support ElasticCloud, AliyunES, and TencentES. Otherwise, no rush—I can handle it in a follow-up PR.

[morning-color]

I have made the TencentElasticsearch client class directly inherit from the ElasticCloud class.
Sorry, I haven't made changes to the CLI tool because I don't have test resources for ElasticCloud or AliyunES, and I'm unsure if the modifications will work properly. Could you merge my PR first, and then merge the CLI tool changes later?