Update upload_to_supabase.py

upload_to_supabase.py

@@ -12,7 +12,7 @@ SUPABASE_KEY = os.getenv("SUPABASE_KEY")
 
 # --- Init Supabase & Embeddings ---
 supabase: Client = create_client(SUPABASE_URL, SUPABASE_KEY)
-embedding_model = HuggingFaceEmbeddings(model_name="all-MiniLM-L6-v2")  # Or OpenAIEmbeddings if you use Groq
+embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-mpnet-base-v2")  # Or OpenAIEmbeddings if you use Groq
 
 # --- Read CSV File ---
 df = pd.read_csv("supabase_docs.csv")  # Assuming columns: 'content', 'metadata' or just 'content'
@@ -27,7 +27,7 @@ for _, row in tqdm(df.iterrows(), total=len(df)):
 # --- Create Supabase Vector Store and Upload ---
 vectorstore = SupabaseVectorStore.from_documents(
     documents=documents,
-    embedding=embedding_model,
+    embedding=embeddings,
     client=supabase,
     table_name="documents",
     query_name="match_documents_langchain"