[Feature]: Add Elasticsearch Store Support

[chenhao0205]

📌 PR 内容 / PR Description

• This pull request introduces Elasticsearch as a storage option for LazyLLM.
  Added a new Elasticsearch store implementation
  Encapsulates the functionality for interacting with Elasticsearch, including data indexing and querying in lazyllm/tools/rag/store/segment/elasticsearch_store.py.

• Testing Enhancements:
  Added tests for the Elasticsearch store in tests/basic_tests/test_store.py.
  Introduced new class TestSegmentStore
  Integrate and validate the Elasticsearch and Opensearch storage within the existing test suite, also allow future extension.

• Enhanced API documentation
  provide detailed guidance on using the new Elasticsearch storage feature, covering interface definitions, usage examples, and parameter explanations.

✅ 变更类型 / Type of Change

• [√] 新功能 / New feature (non-breaking change that adds functionality)
• [√] 文档更新 / Documentation update (changes to docs only)

⚡ 更新后的用法示例 / Usage After Update

>>> import lazyllm
>>> from lazyllm.tools.rag.store import ElasticSearchStore
>>> store = ElasticSearchStore(uris=["localhost:9200"], client_kwargs={}, index_kwargs={})
>>> store.connect(embed_dims={"vec_dense": 128, "vec_sparse": 128}, embed_datatypes={"vec_dense": DataType.FLOAT32, "vec_sparse": DataType.FLOAT32}, global_metadata_desc={})
>>> store.upsert(collection_name="test", data=[{"uid": "1", "embedding": {"vec_dense": [0.1, 0.2, 0.3], "vec_sparse": {"1": 0.1, "2": 0.2, "3": 0.3}}, "metadata": {"key1": "value1", "key2": "value2"}}])
>>> store.get(collection_name="test", criteria={"uid": "1"})
>>> store.delete(collection_name="test", criteria={"uid": "1"})

⚠️ 注意事项 / Additional Notes

requirements.full.txt: elasticsearch<7.17.12

[ChenJiahaoST]

• 小修完补充下api文档