Update agent.py

agent.py

@@ -393,7 +393,8 @@ embedding_model = HuggingFaceEmbeddings(model_name="sentence-transformers/all-Mi
 docs = [Document(page_content=text, metadata={"task_id": item["task_id"]}) for item in data]
 
 # Create the FAISS index
-vector_store = FAISS.from_documents(docs, embedding_model)
+#vector_store = FAISS.from_documents(docs, embedding_model)
+vector_store = FAISS.from_texts(texts = text_chunks, embedding = embeddings)
 
 # Save the FAISS index
 vector_store = MyVectorStore(index)