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Copy file name to clipboardExpand all lines: docs/source/elastic/search-labs/chat.md
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In this tutorial you are going to build a large language model (LLM) chatbot that uses a pattern known as [Retrieval-Augmented Generation (RAG)](https://www.elastic.co/what-is/retrieval-augmented-generation).
Chatbots built with RAG can overcome some of the limitations that general-purpose conversational models such as ChatGPT have. In particular, they are able to discuss and answer questions about:
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- Information that is private to your organization.
Copy file name to clipboardExpand all lines: docs/source/elastic/search-labs/search/setup.md
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Find a suitable parent directory for your project, such as your *Documents* directory, and extract the contents of the zip file there. This should add a *search-tutorial* directory with several sub-directories and files inside.
The application in this early stage is just an empty shell. You can type something in the search box and request a search if you like, but the response is always going to be that there are no results. In the following sections you will learn how to load some content in an Elasticsearch index and perform searches.
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