docs, community[patch], experimental[patch], langchain[patch], cli[pa… (#15412)

…tch]: import models from community

ran
```bash
git grep -l 'from langchain\.chat_models' | xargs -L 1 sed -i '' "s/from\ langchain\.chat_models/from\ langchain_community.chat_models/g"
git grep -l 'from langchain\.llms' | xargs -L 1 sed -i '' "s/from\ langchain\.llms/from\ langchain_community.llms/g"
git grep -l 'from langchain\.embeddings' | xargs -L 1 sed -i '' "s/from\ langchain\.embeddings/from\ langchain_community.embeddings/g"
git checkout master libs/langchain/tests/unit_tests/llms
git checkout master libs/langchain/tests/unit_tests/chat_models
git checkout master libs/langchain/tests/unit_tests/embeddings/test_imports.py
make format
cd libs/langchain; make format
cd ../experimental; make format
cd ../core; make format
```

templates/rag-elasticsearch/ingest.py

@@ -1,9 +1,9 @@
 import os
 
 from langchain.document_loaders import JSONLoader
-from langchain.embeddings import HuggingFaceEmbeddings
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain.vectorstores.elasticsearch import ElasticsearchStore
+from langchain_community.embeddings import HuggingFaceEmbeddings
 
 ELASTIC_CLOUD_ID = os.getenv("ELASTIC_CLOUD_ID")
 ELASTIC_USERNAME = os.getenv("ELASTIC_USERNAME", "elastic")

templates/rag-elasticsearch/rag_elasticsearch/chain.py

@@ -1,10 +1,10 @@
 from operator import itemgetter
 from typing import List, Optional, Tuple
 
-from langchain.chat_models import ChatOpenAI
-from langchain.embeddings import HuggingFaceEmbeddings
 from langchain.schema import BaseMessage, format_document
 from langchain.vectorstores.elasticsearch import ElasticsearchStore
+from langchain_community.chat_models import ChatOpenAI
+from langchain_community.embeddings import HuggingFaceEmbeddings
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.pydantic_v1 import BaseModel, Field
 from langchain_core.runnables import RunnableParallel, RunnablePassthrough