Update links

Author: jhamon

docs/langchain-retrieval-augmentation.ipynb

@@ -17,7 +17,7 @@
     "id": "dQRA1HWOJYbU"
    },
    "source": [
-    "#### [LangChain Handbook](https://pinecone.io/learn/langchain)\n",
+    "#### [LangChain Handbook](https://www.pinecone.io/learn/langchain)\n",
     "\n",
     "# Retrieval Augmentation\n",
     "\n",
@@ -256,7 +256,7 @@
     "- `name` can be anything we like. The name is used as an identifier for the index when performing other operations such as `describe_index`, `delete_index`, and so on. \n",
     "- `metric` specifies the similarity metric that will be used later when you make queries to the index.\n",
     "- `dimension` should correspond to the dimension of the dense vectors produced by your embedding model.\n",
-    "- `spec` holds a specification which tells Pinecone how you would like to deploy our index. You can find a list of all [available providers and regions here](https://docs.pinecone.io/docs/projects).\n",
+    "- `spec` holds a specification which tells Pinecone how you would like to deploy our index. You can find a list of all [available providers and regions here](https://docs.pinecone.io/guides/projects/understanding-projects).\n",
     "\n",
     "There are more configurations available, but this minimal set will get us started."
    ]