use langchain_community

app/admin/admin_functions.py

@@ -1,7 +1,4 @@
-import hashlib
-import re
-from fastapi import HTTPException, UploadFile, File, Form
-from typing import Optional
+from fastapi import UploadFile, File
 import bcrypt
 import os
 import shutil

app/utils/chat_rag.py

@@ -4,19 +4,19 @@ import re
 import hashlib
 import asyncio
 
-from langchain.document_loaders import PyPDFLoader
+from langchain_community.document_loaders import PyPDFLoader
 
-# Import embeddings module from langchain for vector representations of text
-from langchain.embeddings import HuggingFaceEmbeddings
+# Import embeddings module from langchain_community for vector representations of text
+from langchain_community.embeddings import HuggingFaceEmbeddings
 
 # Import text splitter for handling large texts
 from langchain.text_splitter import CharacterTextSplitter
 
 # Import vector store for database operations
-from langchain.vectorstores import Chroma
+from langchain_community.vectorstores import Chroma
 
 # for loading of llama gguf model
-from langchain.llms import LlamaCpp
+from langchain_community.llms import LlamaCpp
 
 from langchain.chains.router.llm_router import LLMRouterChain, RouterOutputParser
 from langchain.chains.router.multi_prompt_prompt import MULTI_PROMPT_ROUTER_TEMPLATE