From 396c0aee4dd0f11b55404d304fe550dcfaf58fc8 Mon Sep 17 00:00:00 2001 From: jessicaou Date: Wed, 11 Sep 2024 16:37:17 -0700 Subject: [PATCH] docs: Adding LC Academy links (#26164) Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Jess Ou Co-authored-by: Erick Friis --- README.md | 2 +- docs/docs/introduction.mdx | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 963a3ba17feb3..00483d54bc6fe 100644 --- a/README.md +++ b/README.md @@ -49,7 +49,7 @@ For these applications, LangChain simplifies the entire application lifecycle: - **`langchain-community`**: Third party integrations. - Some integrations have been further split into **partner packages** that only rely on **`langchain-core`**. Examples include **`langchain_openai`** and **`langchain_anthropic`**. - **`langchain`**: Chains, agents, and retrieval strategies that make up an application's cognitive architecture. -- **[`LangGraph`](https://langchain-ai.github.io/langgraph/)**: A library for building robust and stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph. Integrates smoothly with LangChain, but can be used without it. +- **[`LangGraph`](https://langchain-ai.github.io/langgraph/)**: A library for building robust and stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph. Integrates smoothly with LangChain, but can be used without it. To learn more about LangGraph, check out our first LangChain Academy course, *Introduction to LangGraph*, available [here](https://academy.langchain.com/courses/intro-to-langgraph). ### Productionization: diff --git a/docs/docs/introduction.mdx b/docs/docs/introduction.mdx index 436e225510058..ba6255f60d2ab 100644 --- a/docs/docs/introduction.mdx +++ b/docs/docs/introduction.mdx @@ -55,7 +55,7 @@ These are the best ones to get started with: - [Build an Agent](/docs/tutorials/agents) - [Introduction to LangGraph](https://langchain-ai.github.io/langgraph/tutorials/introduction/) -Explore the full list of LangChain tutorials [here](/docs/tutorials), and check out other [LangGraph tutorials here](https://langchain-ai.github.io/langgraph/tutorials/). +Explore the full list of LangChain tutorials [here](/docs/tutorials), and check out other [LangGraph tutorials here](https://langchain-ai.github.io/langgraph/tutorials/). To learn more about LangGraph, check out our first LangChain Academy course, *Introduction to LangGraph*, available [here](https://academy.langchain.com/courses/intro-to-langgraph). ## [How-to guides](/docs/how_to)