community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)

Moved the following modules to new package langchain-community in a backwards compatible fashion:

```
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
```

Moved the following to core
```
mv langchain/langchain/utils/json_schema.py core/langchain_core/utils
mv langchain/langchain/utils/html.py core/langchain_core/utils
mv langchain/langchain/utils/strings.py core/langchain_core/utils
cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py
rm langchain/langchain/utils/env.py
```

See .scripts/community_split/script_integrations.sh for all changes

libs/community/tests/integration_tests/embeddings/test_elasticsearch.py

@@ -0,0 +1,30 @@
+"""Test elasticsearch_embeddings embeddings."""
+
+import pytest
+
+from langchain_community.embeddings.elasticsearch import ElasticsearchEmbeddings
+
+
+@pytest.fixture
+def model_id() -> str:
+    # Replace with your actual model_id
+    return "your_model_id"
+
+
+def test_elasticsearch_embedding_documents(model_id: str) -> None:
+    """Test Elasticsearch embedding documents."""
+    documents = ["foo bar", "bar foo", "foo"]
+    embedding = ElasticsearchEmbeddings.from_credentials(model_id)
+    output = embedding.embed_documents(documents)
+    assert len(output) == 3
+    assert len(output[0]) == 768  # Change 768 to the expected embedding size
+    assert len(output[1]) == 768  # Change 768 to the expected embedding size
+    assert len(output[2]) == 768  # Change 768 to the expected embedding size
+
+
+def test_elasticsearch_embedding_query(model_id: str) -> None:
+    """Test Elasticsearch embedding query."""
+    document = "foo bar"
+    embedding = ElasticsearchEmbeddings.from_credentials(model_id)
+    output = embedding.embed_query(document)
+    assert len(output) == 768  # Change 768 to the expected embedding size