Update AI videos page with exact YouTube titles and descriptions

- 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

Author: mich-elle-luna

content/develop/ai/ai-videos.md

@@ -14,29 +14,29 @@ Explore our collection of video tutorials and demonstrations showcasing how Redi
 
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-| [**Building RAG Applications with Redis**](https://www.youtube.com/watch?v=fsENEq4F55Q) | [**Vector Search with Redis**](https://www.youtube.com/watch?v=k3FUWWEwgfc) | [**Redis for AI: Getting Started**](https://www.youtube.com/watch?v=o3XN4dImESE) |
-| Learn how to build Retrieval-Augmented Generation (RAG) applications using Redis as your vector database. This tutorial covers the complete workflow from data ingestion to query processing. | Discover how to implement efficient vector search capabilities with Redis. Explore indexing strategies, similarity search, and performance optimization techniques. | Get started with Redis for AI applications. This introductory video covers the fundamentals of using Redis in machine learning and AI workflows. |
-| [**Advanced RAG Techniques**](https://www.youtube.com/watch?v=AtVTT_s8AGc) | [**Redis Vector Similarity Search**](https://www.youtube.com/watch?v=cCTKmmGO4CY) | [**AI Memory Management with Redis**](https://www.youtube.com/watch?v=Yhv19le0sBw) |
-| Explore advanced RAG implementation patterns and optimization strategies using Redis. Learn about hybrid search, re-ranking, and performance tuning for production systems. | Deep dive into vector similarity search algorithms and their implementation in Redis. Compare different distance metrics and indexing approaches for optimal performance. | Learn how to implement persistent memory for AI agents and chatbots using Redis. Explore session management, context preservation, and memory optimization techniques. |
-| [**Real-time AI with Redis Streams**](https://www.youtube.com/watch?v=SFWroqAbBM4) | [**LangChain Integration with Redis**](https://www.youtube.com/watch?v=YhxksXfgsp0) | [**Redis for ML Feature Stores**](https://www.youtube.com/watch?v=M_WU_fN_lrs) |
-| Build real-time AI applications using Redis Streams for data ingestion and processing. Learn about event-driven architectures and streaming analytics for AI workloads. | Integrate Redis with LangChain for enhanced AI applications. Explore vector storage, memory management, and caching strategies for LLM-powered applications. | Implement feature stores for machine learning using Redis. Learn about feature engineering, storage patterns, and serving strategies for ML models. |
+| [**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. |
+| [**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. |
 
-## Additional Resources
+### Additional Resources
 
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-| [**Semantic Caching for LLMs**](https://www.youtube.com/watch?v=2jHtSLVUu0w) | [**Redis JSON for AI Data**](https://www.youtube.com/watch?v=LRswXEc5chE) | [**Multi-modal AI with Redis**](https://www.youtube.com/watch?v=BtFJdSiFh00) |
-| Implement semantic caching to reduce LLM costs and improve response times. Learn about embedding-based caching strategies and cache invalidation techniques. | Leverage Redis JSON for storing and querying complex AI data structures. Explore document storage, indexing, and retrieval patterns for AI applications. | Build multi-modal AI applications that handle text, images, and other data types using Redis as the unified storage and search layer. |
-| [**AI Recommendation Systems**](https://www.youtube.com/watch?v=jF89DiC5RqM) | [**Graph Neural Networks with Redis**](https://www.youtube.com/watch?v=dINUz_XOZ0M) | [**Production AI Deployment**](https://www.youtube.com/watch?v=kQKfXi7NfWs) |
-| Build recommendation systems using Redis for real-time personalization. Learn about collaborative filtering, content-based recommendations, and hybrid approaches. | Implement Graph Neural Networks using Redis Graph. Explore node embeddings, graph traversal, and machine learning on graph data structures. | Deploy AI applications to production using Redis. Learn about scaling strategies, monitoring, and best practices for production AI systems. |
-| [**AI Observability with Redis**](https://www.youtube.com/watch?v=1e2tM5kIJ5Y) | | |
-| Monitor and observe AI applications using Redis for metrics collection and analysis. Learn about performance tracking, error monitoring, and system health checks. | | |
+| [**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) |
+| Learn how to create a new database on Redis Cloud in this step-by-step tutorial. Perfect for developers getting started with Redis Cloud for their AI and data applications. | This video breaks down Redis Insight and shows developers how to use this powerful tool for database management and development. | See how Redis integrates with Amazon SageMaker to build real-time fraud detection systems. This demo shows practical applications of Redis in machine learning and AI-powered fraud prevention. |
+| [**Redis + Amazon Bedrock in two minutes**](https://www.youtube.com/watch?v=1e2tM5kIJ5Y) | | |
+| AWS has announced Redis Cloud as one of the few supported vector databases supported for Amazon Bedrock. Learn how to integrate Redis with Amazon Bedrock for your generative AI applications. | | |
 
 ## Getting Started
 
 Ready to start building AI applications with Redis? Check out our:
 
-- [AI quickstart guides]({{< relref "/develop/get-started" >}})
+- [Quickstart guides]({{< relref "/develop/get-started" >}})
 - [Vector search documentation]({{< relref "/develop/interact/search-and-query/advanced-concepts/vectors" >}})
 - [AI ecosystem integrations]({{< relref "/develop/ai/ecosystem-integrations" >}})
 - [Notebook collection]({{< relref "/develop/ai/notebook-collection" >}})