Update content/develop/ai/ai-videos.md

Co-authored-by: andy-stark-redis <164213578+andy-stark-redis@users.noreply.github.com>

Author: mich-elle-luna

content/develop/ai/ai-videos.md

@@ -17,7 +17,7 @@ Explore our collection of video tutorials and demonstrations showcasing how Redi
 | [**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. |
 | [**What is a semantic cache?**](https://www.youtube.com/watch?v=AtVTT_s8AGc) | [**Building a RAG Pipeline from Scratch with RedisVL**](https://www.youtube.com/watch?v=cCTKmmGO4CY) | [**What is a vector database?**](https://www.youtube.com/watch?v=Yhv19le0sBw) |
-| What if you could skip redundant LLM calls — and make your AI app faster, cheaper, and smarter? This video breaks down semantic caching and shows how it can transform your AI applications. | Unlock the Power of Retrieval-Augmented Generation (RAG) with RedisVL! This tutorial will show you how to build a complete RAG pipeline from scratch using Redis as your vector database. | Vector databases have been trending recently as they power modern search, recommendations, and AI-driven applications. Learn what vector databases are and how they work. |
+| What if you could skip redundant LLM calls and make your AI app faster, cheaper, and smarter? This video breaks down semantic caching and shows how it can transform your AI applications. | Unlock the Power of Retrieval-Augmented Generation (RAG) with RedisVL. This tutorial will show you how to build a complete RAG pipeline from scratch using Redis as your vector database. | Vector databases have been trending recently as they power modern search, recommendations, and AI-driven applications. Learn what vector databases are and how they work. |
 | [**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) |
 | The ins and 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. | This series of videos dives 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. |