Update links

Author: jhamon

docs/langchain-retrieval-agent.ipynb

@@ -17,11 +17,11 @@
     "id": "bhWwrfbbVGOA"
    },
    "source": [
-    "#### [LangChain Handbook](https://pinecone.io/learn/langchain)\n",
+    "#### [LangChain Handbook](https://www.pinecone.io/learn/series/langchain/)\n",
     "\n",
     "# Retrieval Agents\n",
     "\n",
-    "We've seen in previous chapters how powerful [retrieval augmentation](https://www.pinecone.io/learn/langchain-retrieval-augmentation/) and [conversational agents](https://www.pinecone.io/learn/langchain-agents/) can be. They become even more impressive when we begin using them together.\n",
+    "We've seen in previous chapters how powerful [retrieval augmentation](https://www.pinecone.io/learn/series/langchain/langchain-retrieval-augmentation/) and [conversational agents](https://www.pinecone.io/learn/series/langchain/langchain-agents/) can be. They become even more impressive when we begin using them together.\n",
     "\n",
     "Conversational agents can struggle with data freshness, knowledge about specific domains, or accessing internal documentation. By coupling agents with retrieval augmentation tools we no longer have these problems.\n",
     "\n",