diff --git a/examples/vector_databases/pinecone/Gen_QA.ipynb b/examples/vector_databases/pinecone/Gen_QA.ipynb
index e03d15c6..c92429d4 100644
--- a/examples/vector_databases/pinecone/Gen_QA.ipynb
+++ b/examples/vector_databases/pinecone/Gen_QA.ipynb
@@ -13,7 +13,7 @@
         "\n",
         "In this notebook we will learn how to query relevant contexts to our queries from Pinecone, and pass these to a generative OpenAI model to generate an answer backed by real data sources.\n",
         "\n",
-        "A common problem with using GPT-3 to factually answer questions is that GPT-3 can sometimes make things up. The GPT models have a broad range of general knowledge, but this does not necessarily apply to more specific information. For that we use the Pinecone vector database as our _\"external knowledge base\"_ — like *long-term memory for GPT-3.\n",
+        "A common problem with using GPT-3 to factually answer questions is that GPT-3 can sometimes make things up. The GPT models have a broad range of general knowledge, but this does not necessarily apply to more specific information. For that we use the Pinecone vector database as our _\"external knowledge base\"_ — like *long-term memory* for GPT-3.\n",
         "\n",
         "Required installs for this notebook are:"
       ]