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fix(docs): squash js docs build errors (#5723)

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Hunter Lovell
2025-07-30 16:14:51 +00:00
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docs/docs/tutorials/rag/langgraph_agentic_rag.md
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@@ -109,7 +109,15 @@ Now that we have our split documents, we can index them into a vector store that
## 3. Generate query
Now we will start building components ([nodes](../../concepts/low_level.md#nodes) and [edges](../../concepts/low_level.md#edges)) for our agentic RAG graph. Note that the components will operate on the [`MessagesState`](../../concepts/low_level.md#messagesstate) — graph state that contains a `messages` key with a list of [chat messages](https://python.langchain.com/docs/concepts/messages/).
Now we will start building components ([nodes](../../concepts/low_level.md#nodes) and [edges](../../concepts/low_level.md#edges)) for our agentic RAG graph.
:::python
Note that the components will operate on the [`MessagesState`](../../concepts/low_level.md#messagesstate) — graph state that contains a `messages` key with a list of [chat messages](https://python.langchain.com/docs/concepts/messages/).
:::
:::js
Note that the components will operate on the `MessagesZodState` — graph state that contains a `messages` key with a list of [chat messages](https://js.langchain.com/docs/concepts/messages/).
:::
1. Build a `generate_query_or_respond` node. It will call an LLM to generate a response based on the current graph state (list of messages). Given the input messages, it will decide to retrieve using the retriever tool, or respond directly to the user. Note that we're giving the chat model access to the `retriever_tool` we created earlier via `.bind_tools`: