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docs: update contributing doc (#30292)

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docs/docs/contributing/how_to/integrations/index.mdx
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@ -73,17 +73,18 @@ In order to contribute an integration, you should follow these steps:
## Co-Marketing
With over 20 million monthly downloads, LangChain has a large audience of developers building LLM applications.
Besides just adding integrations, we also like to show them examples of cool tools or APIs they can use.
With over 20 million monthly downloads, LangChain has a large audience of developers
building LLM applications. Beyond just listing integrations, we aim to highlight
high-quality, educational examples that inspire developers and advance the ecosystem.
While traditionally called "co-marketing", we like to think of this more as "co-education".
For that reason, while we are happy to highlight your integration through our social media channels, we prefer to highlight examples that also serve some educational purpose.
Our main social media channels are Twitter and LinkedIn.
While we occasionally share integrations, we prioritize content that provides
meaningful insights and best practices. Our main social channels are Twitter and
LinkedIn, where we highlight the best examples.
Here are some heuristics for types of content we are excited to promote:
- **Integration announcement:** If you announce the integration with a link to the LangChain documentation page, we are happy to re-tweet/re-share on Twitter/LinkedIn.
- **Educational content:** We highlight good educational content on the weekends - if you write a good blog or make a good YouTube video, we are happy to share there! Note that we prefer content that is NOT framed as "here's how to use integration XYZ", but rather "here's how to do ABC", as we find that is more educational and helpful for developers.
- **Integration announcement:** Announcements of new integrations with a link to the LangChain documentation page.
- **Educational content:** Blogs, YouTube videos and other media showcasing educational content. Note that we prefer content that is NOT framed as "here's how to use integration XYZ", but rather "here's how to do ABC", as we find that is more educational and helpful for developers.
- **End-to-end applications:** End-to-end applications are great resources for developers looking to build. We prefer to highlight applications that are more complex/agentic in nature, and that use [LangGraph](https://github.com/langchain-ai/langgraph) as the orchestration framework. We get particularly excited about anything involving long-term memory, human-in-the-loop interaction patterns, or multi-agent architectures.
- **Research:** We love highlighting novel research! Whether it is research built on top of LangChain or that integrates with it.