mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
480626dc99
…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 ```
17 lines
441 B
Python
17 lines
441 B
Python
from langchain.retrievers import CohereRagRetriever
|
|
from langchain_community.chat_models import ChatCohere
|
|
|
|
rag = CohereRagRetriever(llm=ChatCohere())
|
|
|
|
|
|
def get_docs_message(message):
|
|
docs = rag.get_relevant_documents(message)
|
|
message_doc = next(
|
|
(x for x in docs if x.metadata.get("type") == "model_response"), None
|
|
)
|
|
return message_doc.page_content
|
|
|
|
|
|
def librarian_rag(x):
|
|
return get_docs_message(x["message"])
|