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Also want to add an index/rollup page to LangSmith docs to enable linking to a how-to category as a group (e.g. https://docs.smith.langchain.com/how_to_guides/evaluation/) CC @agola11 @hinthornw
55 lines
2.2 KiB
Plaintext
55 lines
2.2 KiB
Plaintext
---
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sidebar_position: 0
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sidebar_class_name: hidden
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---
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# Tutorials
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New to LangChain or to LLM app development in general? Read this material to quickly get up and running.
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## Basics
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- [Build a Simple LLM Application with LCEL](/docs/tutorials/llm_chain)
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- [Build a Chatbot](/docs/tutorials/chatbot)
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- [Build vector stores and retrievers](/docs/tutorials/retrievers)
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- [Build an Agent](/docs/tutorials/agents)
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## Working with external knowledge
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- [Build a Retrieval Augmented Generation (RAG) Application](/docs/tutorials/rag)
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- [Build a Conversational RAG Application](/docs/tutorials/qa_chat_history)
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- [Build a Question/Answering system over SQL data](/docs/tutorials/sql_qa)
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- [Build a Query Analysis System](/docs/tutorials/query_analysis)
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- [Build a local RAG application](/docs/tutorials/local_rag)
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- [Build a Question Answering application over a Graph Database](/docs/tutorials/graph)
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- [Build a PDF ingestion and Question/Answering system](/docs/tutorials/pdf_qa/)
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## Specialized tasks
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- [Build an Extraction Chain](/docs/tutorials/extraction)
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- [Generate synthetic data](/docs/tutorials/data_generation)
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- [Classify text into labels](/docs/tutorials/classification)
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- [Summarize text](/docs/tutorials/summarization)
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## LangGraph
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LangGraph is an extension of LangChain aimed at
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building robust and stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph.
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LangGraph documentation is currently hosted on a separate site.
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You can peruse [LangGraph tutorials here](https://langchain-ai.github.io/langgraph/tutorials/).
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## LangSmith
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LangSmith allows you to closely trace, monitor and evaluate your LLM application.
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It seamlessly integrates with LangChain, and you can use it to inspect and debug individual steps of your chains as you build.
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LangSmith documentation is hosted on a separate site.
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You can peruse [LangSmith tutorials here](https://docs.smith.langchain.com/tutorials/).
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### Evaluation
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LangSmith helps you evaluate the performance of your LLM applications. The below tutorial is a great way to get started:
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- [Evaluate your LLM application](https://docs.smith.langchain.com/tutorials/Developers/evaluation)
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## More
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For more tutorials, see our [cookbook section](https://github.com/langchain-ai/langchain/tree/master/cookbook).
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