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/langchain_community/graphs/hugegraph.py

@@ -0,0 +1,74 @@
+from typing import Any, Dict, List
+
+
+class HugeGraph:
+    """HugeGraph wrapper for graph operations.
+
+    *Security note*: Make sure that the database connection uses credentials
+        that are narrowly-scoped to only include necessary permissions.
+        Failure to do so may result in data corruption or loss, since the calling
+        code may attempt commands that would result in deletion, mutation
+        of data if appropriately prompted or reading sensitive data if such
+        data is present in the database.
+        The best way to guard against such negative outcomes is to (as appropriate)
+        limit the permissions granted to the credentials used with this tool.
+
+        See https://python.langchain.com/docs/security for more information.
+    """
+
+    def __init__(
+        self,
+        username: str = "default",
+        password: str = "default",
+        address: str = "127.0.0.1",
+        port: int = 8081,
+        graph: str = "hugegraph",
+    ) -> None:
+        """Create a new HugeGraph wrapper instance."""
+        try:
+            from hugegraph.connection import PyHugeGraph
+        except ImportError:
+            raise ValueError(
+                "Please install HugeGraph Python client first: "
+                "`pip3 install hugegraph-python`"
+            )
+
+        self.username = username
+        self.password = password
+        self.address = address
+        self.port = port
+        self.graph = graph
+        self.client = PyHugeGraph(
+            address, port, user=username, pwd=password, graph=graph
+        )
+        self.schema = ""
+        # Set schema
+        try:
+            self.refresh_schema()
+        except Exception as e:
+            raise ValueError(f"Could not refresh schema. Error: {e}")
+
+    @property
+    def get_schema(self) -> str:
+        """Returns the schema of the HugeGraph database"""
+        return self.schema
+
+    def refresh_schema(self) -> None:
+        """
+        Refreshes the HugeGraph schema information.
+        """
+        schema = self.client.schema()
+        vertex_schema = schema.getVertexLabels()
+        edge_schema = schema.getEdgeLabels()
+        relationships = schema.getRelations()
+
+        self.schema = (
+            f"Node properties: {vertex_schema}\n"
+            f"Edge properties: {edge_schema}\n"
+            f"Relationships: {relationships}\n"
+        )
+
+    def query(self, query: str) -> List[Dict[str, Any]]:
+        g = self.client.gremlin()
+        res = g.exec(query)
+        return res["data"]