Better ls info (#10202)

docs/docs_skeleton/docs/guides/langsmith/index.md

@@ -2,11 +2,21 @@
 
 import DocCardList from "@theme/DocCardList";
 
-LangSmith helps you trace and evaluate your language model applications and intelligent agents to help you
+[LangSmith](https://smith.langchain.com) helps you trace and evaluate your language model applications and intelligent agents to help you
 move from prototype to production.
 
 Check out the [interactive walkthrough](/docs/guides/langsmith/walkthrough) below to get started.
 
-For more information, please refer to the [LangSmith documentation](https://docs.smith.langchain.com/)
+For more information, please refer to the [LangSmith documentation](https://docs.smith.langchain.com/).
+
+For tutorials and other end-to-end examples demonstrating ways to integrate LangSmith in your workflow,
+check out the [LangSmith Cookbook](https://github.com/langchain-ai/langsmith-cookbook). Some of the guides therein include:
+
+- Leveraging user feedback in your JS application ([link](https://github.com/langchain-ai/langsmith-cookbook/blob/main/feedback-examples/nextjs/README.md)).
+- Building an automated feedback pipeline ([link](https://github.com/langchain-ai/langsmith-cookbook/blob/main/feedback-examples/algorithmic-feedback/algorithmic_feedback.ipynb)).
+- How to evaluate and audit your RAG workflows ([link](https://github.com/langchain-ai/langsmith-cookbook/tree/main/testing-examples/qa-correctness)).
+- How to fine-tune a LLM on real usage data ([link](https://github.com/langchain-ai/langsmith-cookbook/blob/main/fine-tuning-examples/export-to-openai/fine-tuning-on-chat-runs.ipynb)).
+- How to use the [LangChain Hub](https://smith.langchain.com/hub) to version your prompts ([link](https://github.com/langchain-ai/langsmith-cookbook/blob/main/hub-examples/retrieval-qa-chain/retrieval-qa.ipynb))
+
 
 <DocCardList />