[Docs] Cleanup links in nb (#828)

examples/create-react-agent-memory.ipynb

@@ -7,7 +7,7 @@
    "source": [
     "# How to add memory to the prebuilt ReAct agent\n",
     "\n",
-    "This tutorial will show how to add memory to the prebuilt ReAct agent. Please see [this tutorial](create-react-agent) for how to get started with the prebuilt ReAct agent\n",
+    "This tutorial will show how to add memory to the prebuilt ReAct agent. Please see [this tutorial](./create-react-agent.ipynb) for how to get started with the prebuilt ReAct agent\n",
     "\n",
     "All we need to do to enable memory is pass in a checkpointer to `create_react_agents`"
    ]

examples/create-react-agent-system-prompt.ipynb

@@ -7,7 +7,7 @@
    "source": [
     "# How to add a custom system prompt to the prebuilt ReAct agent\n",
     "\n",
-    "This tutorial will show how to add a custom system prompt to the prebuilt ReAct agent. Please see [this tutorial](create-react-agent) for how to get started with the prebuilt ReAct agent\n",
+    "This tutorial will show how to add a custom system prompt to the prebuilt ReAct agent. Please see [this tutorial](./create-react-agent.ipynb) for how to get started with the prebuilt ReAct agent\n",
     "\n",
     "You can add a custom system prompt by passing a string to the `messages_modifier` param."
    ]

examples/human-in-the-loop.ipynb

@@ -577,7 +577,7 @@
     "\n",
     "There are multiple options, and the ideal option may depend on the specifics of your application and capabilities of your chosen LLM. Note that many chat models require that messages with tool calls be immediately followed by a tool message containing the result of the tool call. So our intervention may:\n",
     "\n",
-    "1. Update the parameters of the tool call before proceeding normally (see this [how-to guide](https://langchain-ai.github.io/langgraph/how-tos/time-travel/#pause-before-tools) for an example);\n",
+    "1. Update the parameters of the tool call before proceeding normally (see this [how-to guide](./human_in_the_loop/breakpoints.ipynb) for an example);\n",
     "2. Add a tool message to the conversation history indicating the user's desired intervention (see an example [here](https://langchain-ai.github.io/langgraph/tutorials/customer-support/customer-support/#state-assistant));\n",
     "3. Catch the tool call message, replacing it with a `AIMessage` asking for verification and only adding the tool call message to the conversation history if approved.\n",
     "\n",
@@ -972,7 +972,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.1"
+   "version": "3.12.2"
   }
  },
  "nbformat": 4,

examples/human_in_the_loop/time-travel.ipynb

@@ -7,7 +7,7 @@
    "source": [
     "# How to view and update past graph state\n",
     "\n",
-    "Once you start [checkpointing](./persistence.ipynb) your graphs, you can easily **get** or **update** the state of the agent at any point in time. This permits a few things:\n",
+    "Once you start [checkpointing](../persistence.ipynb) your graphs, you can easily **get** or **update** the state of the agent at any point in time. This permits a few things:\n",
     "\n",
     "1. You can surface a state during an interrupt to a user to let them accept an action.\n",
     "2. You can **rewind** the graph to reproduce or avoid issues.\n",

examples/rag/langgraph_adaptive_rag_cohere.ipynb

@@ -28,7 +28,7 @@
     "* Web-search\n",
     "* Iterative RAG\n",
     "\n",
-    "We'll use [Command R](https://txt.cohere.com/command-r/), a recent release from Cohere that:\n",
+    "We'll use [Command R](https://cohere.com/blog/command-r), a recent release from Cohere that:\n",
     "\n",
     "* Has strong accuracy on RAG and Tool Use\n",
     "* Has 128k context\n",