Update utils.py

utils.py

@@ -31,7 +31,7 @@ from pygments.formatters import HtmlFormatter
 
 from langchain.chains import LLMChain, RetrievalQA
 from langgraph.graph import END, StateGraph
-from langchain_community.chat_models import ChatOpenAI
+from langchain_openai import ChatOpenAI
 from langchain_community.document_loaders import PyPDFLoader, WebBaseLoader, UnstructuredWordDocumentLoader, DirectoryLoader
 from langchain.document_loaders.blob_loaders.youtube_audio import YoutubeAudioLoader
 from langchain.document_loaders.generic import GenericLoader
@@ -44,7 +44,7 @@ from langchain_community.tools import DuckDuckGoSearchRun
 from langchain.retrievers.tavily_search_api import TavilySearchAPIRetriever
 from typing import Dict, TypedDict
 from langchain_core.messages import BaseMessage
-from langchain_community.embeddings.openai import OpenAIEmbeddings
+from langchain_openai import OpenAIEmbeddings
 from langchain.prompts import PromptTemplate
 
 
@@ -380,6 +380,8 @@ def rag_chain(llm, prompt,  retriever):
     relevant_docs=[]
     filtered_docs=[]
     relevant_docs = retriever.get_relevant_documents(prompt)
+    print("releant docs1......................")
+            print(relevant_docs)
     if (len(relevant_docs)>0):
         filtered_docs = grade_documents_direct(prompt, relevant_docs)
     
@@ -389,6 +391,8 @@ def rag_chain(llm, prompt,  retriever):
         neu_prompt = transform_query_direct(prompt)
         relevant_docs = retriever.get_relevant_documents(neu_prompt)
         if (len(relevant_docs)>0):
+            print("releant docs2......................")
+            print(relevant_docs)
             filtered_docs = grade_documents_direct(relevant_docs)
 
     if (len(filtered_docs)>0):