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-redis/ingest.py

@@ -1,9 +1,9 @@
 import os
 
 from langchain.document_loaders import UnstructuredFileLoader
-from langchain.embeddings import HuggingFaceEmbeddings
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain.vectorstores import Redis
+from langchain_community.embeddings import HuggingFaceEmbeddings
 from rag_redis.config import EMBED_MODEL, INDEX_NAME, INDEX_SCHEMA, REDIS_URL
 
 

templates/rag-redis/rag_redis/chain.py

@@ -1,7 +1,7 @@
-from langchain.chat_models import ChatOpenAI
-from langchain.embeddings import HuggingFaceEmbeddings
 from langchain.prompts import ChatPromptTemplate
 from langchain.vectorstores import Redis
+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
 from langchain_core.runnables import RunnableParallel, RunnablePassthrough