From bdd9fe406631aae2199d7424fa7993b2189bbb32 Mon Sep 17 00:00:00 2001 From: Harrison Chase Date: Sat, 16 Sep 2023 13:39:55 -0700 Subject: [PATCH] docs refresh intro (#10683) --- .../docs/get_started/introduction.mdx | 24 +++++++++---------- 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/docs/docs_skeleton/docs/get_started/introduction.mdx b/docs/docs_skeleton/docs/get_started/introduction.mdx index 08d156525f..e619f3f351 100644 --- a/docs/docs_skeleton/docs/get_started/introduction.mdx +++ b/docs/docs_skeleton/docs/get_started/introduction.mdx @@ -4,9 +4,9 @@ sidebar_position: 0 # Introduction -**LangChain** is a framework for developing applications powered by language models. It enables applications that are: -- **Data-aware**: connect a language model to other sources of data -- **Agentic**: allow a language model to interact with its environment +**LangChain** is a framework for developing applications powered by language models. It enables applications that: +- **Are context-aware**: connect a language model to other sources of context (prompt instructions, few shot examples, content to ground it's response in) +- **Reason**: rely on a language to reason (about how to answer based on provided context, what actions to take, etc) The main value props of LangChain are: 1. **Components**: abstractions for working with language models, along with a collection of implementations for each abstraction. Components are modular and easy-to-use, whether you are using the rest of the LangChain framework or not @@ -16,9 +16,9 @@ Off-the-shelf chains make it easy to get started. For more complex applications ## Get started -[Here’s](/docs/get_started/installation.html) how to install LangChain, set up your environment, and start building. +[Here’s](/docs/get_started/installation) how to install LangChain, set up your environment, and start building. -We recommend following our [Quickstart](/docs/get_started/quickstart.html) guide to familiarize yourself with the framework by building your first LangChain application. +We recommend following our [Quickstart](/docs/get_started/quickstart) guide to familiarize yourself with the framework by building your first LangChain application. _**Note**: These docs are for the LangChain [Python package](https://github.com/hwchase17/langchain). For documentation on [LangChain.js](https://github.com/hwchase17/langchainjs), the JS/TS version, [head here](https://js.langchain.com/docs)._ @@ -40,21 +40,21 @@ Persist application state between runs of a chain Log and stream intermediate steps of any chain ## Examples, ecosystem, and resources -### [Use cases](/docs/use_cases/) +### [Use cases](/docs/use_cases/question_answering/) Walkthroughs and best-practices for common end-to-end use cases, like: -- [Chatbots](/docs/use_cases/chatbots) -- [Answering questions using sources](/docs/use_cases/question_answering/) -- [Analyzing structured data](/docs/use_cases/sql) +- [Document question answering](/docs/use_cases/question_answering/) +- [Chatbots](/docs/use_cases/chatbots/) +- [Analyzing structured data](/docs/use_cases/qa_structured/sql/) - and much more... ### [Guides](/docs/guides/) Learn best practices for developing with LangChain. -### [Ecosystem](/docs/ecosystem/) -LangChain is part of a rich ecosystem of tools that integrate with our framework and build on top of it. Check out our growing list of [integrations](/docs/integrations/) and [dependent repos](/docs/additional_resources/dependents). +### [Ecosystem](/docs/integrations/providers/) +LangChain is part of a rich ecosystem of tools that integrate with our framework and build on top of it. Check out our growing list of [integrations](/docs/integrations/providers/) and [dependent repos](/docs/additional_resources/dependents). ### [Additional resources](/docs/additional_resources/) -Our community is full of prolific developers, creative builders, and fantastic teachers. Check out [YouTube tutorials](/docs/additional_resources/youtube.html) for great tutorials from folks in the community, and [Gallery](https://github.com/kyrolabs/awesome-langchain) for a list of awesome LangChain projects, compiled by the folks at [KyroLabs](https://kyrolabs.com). +Our community is full of prolific developers, creative builders, and fantastic teachers. Check out [YouTube tutorials](/docs/additional_resources/youtube) for great tutorials from folks in the community, and [Gallery](https://github.com/kyrolabs/awesome-langchain) for a list of awesome LangChain projects, compiled by the folks at [KyroLabs](https://kyrolabs.com). ### [Community](/docs/community) Head to the [Community navigator](/docs/community) to find places to ask questions, share feedback, meet other developers, and dream about the future of LLM’s.