upgrade to larger models

RAG_PDF_WEB.py

@@ -45,17 +45,17 @@ def get_doc_chunks(docs):
     return docs
 
 def get_vectorstore_from_docs(doc_chunks):
-    embedding = OpenAIEmbeddings(model="text-embedding-3-small")
+    embedding = OpenAIEmbeddings(model="text-embedding-3-large")
     vectorstore = FAISS.from_documents(documents=doc_chunks, embedding=embedding)
     return vectorstore
 
 def get_vectorstore(text_chunks):
-    embedding = OpenAIEmbeddings(model="text-embedding-3-small")
+    embedding = OpenAIEmbeddings(model="text-embedding-3-large")
     vectorstore = FAISS.from_texts(texts=text_chunks, embedding=embedding)
     return vectorstore
 
 def get_conversation_chain(vectorstore):
-    llm = ChatOpenAI(model="gpt-3.5-turbo",temperature=0.5, max_tokens=2048)
+    llm = ChatOpenAI(model="gpt-4",temperature=0.5, max_tokens=2048)
     retriever=vectorstore.as_retriever()
     prompt = hub.pull("rlm/rag-prompt")