pinecone test

app.py

@@ -1,5 +1,6 @@
 from langchain_community.embeddings import HuggingFaceBgeEmbeddings
 from langchain_community.vectorstores import Pinecone
+from langchain_community.vectorstores.utils import DistanceStrategy
 from langchain_openai import ChatOpenAI
 from pinecone import Pinecone as PineconeClient
 import streamlit as st
@@ -34,10 +35,13 @@ def load_pinecone_vectorstore():
         encode_kwargs=encode_kwargs,
         query_instruction="Represent this question for searching relevant passages: ",
     )
-    pinecone = PineconeClient(api_key=st.secrets["pinecone_api_key"])
-    vectorstore = Pinecone.from_existing_index(
-        index_name=st.secrets["pinecone_index_name"],
+    pc = PineconeClient(api_key=st.secrets["pinecone_api_key"])
+    index = pc.Index(st.secrets["pinecone_index_name"])
+    vectorstore = Pinecone(
+        index=index,
         embedding=emb_fn,
+        text_key="text",
+        distance_strategy=DistanceStrategy.COSINE,
     )
     return vectorstore