diff --git a/docs/docs_skeleton/docs/guides/langsmith/index.md b/docs/docs_skeleton/docs/guides/langsmith/index.md index 9915e70c5f..c4cfee065a 100644 --- a/docs/docs_skeleton/docs/guides/langsmith/index.md +++ b/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)) +