DOC-5315 Add AI videos page #1672
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mich-elle-luna
commented
Jun 5, 2025
mich-elle-luna
commented
- Add video tutorials page to develop/ai section
- Update ecosystem integrations getting started section to include video collection link
- Add additional resources section to notebook collection page with video and integration links
- Improve discoverability and navigation between AI documentation resources
- Add video tutorials section to AI index page with overview of video content - Update ecosystem integrations getting started section to include video collection link - Add additional resources section to notebook collection page with video and integration links - Improve discoverability and navigation between AI documentation resources
- Replace placeholder titles with exact YouTube video titles - Update descriptions to match exact YouTube video descriptions - Ensure all 16 videos have accurate titles and descriptions from their YouTube pages
andy-stark-redis
approved these changes
Jun 6, 2025
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| | [**Long-Term Memory with LangGraph**](https://www.youtube.com/watch?v=fsENEq4F55Q) | [**Short-Term Memory with LangGraph**](https://www.youtube.com/watch?v=k3FUWWEwgfc) | [**What is semantic search?**](https://www.youtube.com/watch?v=o3XN4dImESE) | | ||
| | Learn how to implement long-term memory capabilities in AI agents using LangGraph. This video shows you how to build AI systems that can retain and recall information across extended interactions. | Want your AI agents to remember what users tell them? Short-term memory is the key to natural conversations, and in this tutorial, you'll learn how to implement it with LangGraph. | Traditional search matches words — but what if your AI app could match meaning instead? This video explains how semantic search works and why it's essential for modern AI applications. | |
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Might be purely a subjective thing on my part, but I think the lines in the table between the linked headings and the following content makes it look like they are separate. The suggestion below reformats the top row to put the link and the content together, separated with just a<br/> (I've just done one row so you can compare the two styles). Another option might be to format the table with two columns, one for the heading and the second for the content. A third option is just to ignore me altogether and leave it as it is :-)
Suggested change
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| |---|---|---| | |
| | [**Long-Term Memory with LangGraph**](https://www.youtube.com/watch?v=fsENEq4F55Q) | [**Short-Term Memory with LangGraph**](https://www.youtube.com/watch?v=k3FUWWEwgfc) | [**What is semantic search?**](https://www.youtube.com/watch?v=o3XN4dImESE) | | |
| | Learn how to implement long-term memory capabilities in AI agents using LangGraph. This video shows you how to build AI systems that can retain and recall information across extended interactions. | Want your AI agents to remember what users tell them? Short-term memory is the key to natural conversations, and in this tutorial, you'll learn how to implement it with LangGraph. | Traditional search matches words — but what if your AI app could match meaning instead? This video explains how semantic search works and why it's essential for modern AI applications. | | |
| | | | | | |
| |---|---|---| | |
| | [**Long-Term Memory with LangGraph**](https://www.youtube.com/watch?v=fsENEq4F55Q)<br/>Learn how to implement long-term memory capabilities in AI agents using LangGraph. This video shows you how to build AI systems that can retain and recall information across extended interactions. | [**Short-Term Memory with LangGraph**](https://www.youtube.com/watch?v=k3FUWWEwgfc)<br/>Want your AI agents to remember what users tell them? Short-term memory is the key to natural conversations, and in this tutorial, you'll learn how to implement it with LangGraph. | [**What is semantic search?**](https://www.youtube.com/watch?v=o3XN4dImESE)<br/>Traditional search matches words — but what if your AI app could match meaning instead? This video explains how semantic search works and why it's essential for modern AI applications. | |
| | [**Building the future Architecting AI Agents with AWS, LlamaIndex and Redis**](https://www.youtube.com/watch?v=SFWroqAbBM4) | [**Building AI Apps using LangChain**](https://www.youtube.com/watch?v=YhxksXfgsp0) | [**Resources to Learn AI with Redis**](https://www.youtube.com/watch?v=M_WU_fN_lrs) | | ||
| | Key topics: The ins & outs of AI agents: Understand their role in breaking down tasks into manageable components for better performance. Learn how to architect AI agents using AWS, LlamaIndex, and Redis. | In this series, we dive into the integration between LangChain and Redis to power AI applications that need runtime speed, scalability, and intelligent data management. | This video shows which resources you can use to learn AI with Redis and build powerful AI applications. | | ||
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| ### Additional Resources |
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Should be an h2, otherwise the sidebar is indented strangely.
Suggested change
| ### Additional Resources | |
| ## Additional Resources |
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H2 adds another vertical line, so that is the reason I made this h3
| |---|---|---| | ||
| | [**LLM Session Management with Redis**](https://www.youtube.com/watch?v=2jHtSLVUu0w) | [**A Semantic Cache using LangChain**](https://www.youtube.com/watch?v=LRswXEc5chE) | [**Similarity Search using Vector Store**](https://www.youtube.com/watch?v=BtFJdSiFh00) | | ||
| | Developers building AI applications require a way to store the conversation history between an LLM and a user. This is important to provide context and maintain coherent conversations across sessions. | One common concern of developers building AI applications is how fast answers from LLMs will be served to their end users, as well as how much it will cost. Learn how to implement semantic caching using LangChain and Redis. | Similarity search is one of the most popular use cases for developers building AI applications. It allows users to perform searches that can find semantically similar content using vector embeddings. | | ||
| | [**Create a New Database on Redis Cloud**](https://www.youtube.com/watch?v=jF89DiC5RqM) | [**Redis Insight: A Developer's Deep Dive**](https://www.youtube.com/watch?v=dINUz_XOZ0M) | [**Redis + Amazon SageMaker for real-time fraud detection demo**](https://www.youtube.com/watch?v=kQKfXi7NfWs) | |
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Are these ones relevant? I know they are part of the AI tutorial series, but I'm not sure they've got anything to do with AI specifically.
Co-authored-by: andy-stark-redis <[email protected]>
Co-authored-by: andy-stark-redis <[email protected]>
Co-authored-by: andy-stark-redis <[email protected]>
Co-authored-by: andy-stark-redis <[email protected]>
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