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Update Contributor Docs (#30679)

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Deletes statement on integration marketing
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docs/docs/contributing/how_to/integrations/index.mdx
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@ -83,7 +83,6 @@ LinkedIn, where we highlight the best examples.
Here are some heuristics for types of content we are excited to promote: Here are some heuristics for types of content we are excited to promote:
- **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. - **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. - **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. - **Research:** We love highlighting novel research! Whether it is research built on top of LangChain or that integrates with it.