Update app.py

app.py

@@ -67,7 +67,7 @@ def get_links_from_page(url, visited_urls, all_links, base_domain):
         print(f"Failed to retrieve content from {url}. Status code: {response.status_code}")
 
 
-from langchain_community.embeddings import HuggingFaceBgeEmbeddings 
+from langchain_community.embeddings import HuggingFaceBEmbeddings 
 from langchain.chains import RetrievalQA
 
 from langchain.memory import ConversationBufferMemory
@@ -78,11 +78,11 @@ from langchain_community.document_transformers import BeautifulSoupTransformer
 # Function to index URLs in RAG
 def index_urls_in_rag(urls=[]):
       # Load the RAG model
-    rag_model = "jinaai/jina-embeddings-v2-base-de"
+    rag_model = "intfloat/e5-mistral-7b-instruct"
     encode_kwargs = {
-        "normalize_embeddings": True
+        "normalize_embeddings": False
     }  # set True to compute cosine similarity
-    embeddings = HuggingFaceBgeEmbeddings(
+    embeddings = HuggingFaceEmbeddings(
         model_name=rag_model, encode_kwargs=encode_kwargs, model_kwargs={"device": "cpu"}
     )