Update agent.py

agent.py

@@ -389,7 +389,7 @@ texts = [doc.page_content for doc in docs]
 # Initialize the embedding model
 embedding_model = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
 
-docs = [Document(page_content=text, metadata={"task_id": item["task_id"]}) for item in data]
+docs = [Document(page_content=texts, metadata={"task_id": item["task_id"]}) for item in data]
 
 # Create the FAISS index
 #vector_store = FAISS.from_documents(docs, embedding_model)