|
| 1 | +--- |
| 2 | +Title: Redis AI video collection |
| 3 | +alwaysopen: false |
| 4 | +categories: |
| 5 | +- docs |
| 6 | +- develop |
| 7 | +- ai |
| 8 | +description: Watch video tutorials and demos showcasing Redis in AI applications, from vector search to RAG implementations. |
| 9 | +linkTitle: AI videos |
| 10 | +weight: 60 |
| 11 | +--- |
| 12 | + |
| 13 | +Explore our collection of video tutorials and demonstrations showcasing how Redis powers AI applications. From vector search fundamentals to advanced RAG implementations, these videos provide practical insights and hands-on examples. |
| 14 | + |
| 15 | +| | | | |
| 16 | +|---|---|---| |
| 17 | +| [**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) | |
| 18 | +| 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. | |
| 19 | +| [**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) | |
| 20 | +| 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. | |
| 21 | +| [**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) | |
| 22 | +| 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. | |
| 23 | + |
| 24 | +## Additional Resources |
| 25 | + |
| 26 | +| | | | |
| 27 | +|---|---|---| |
| 28 | +| [**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) | |
| 29 | +| 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. | |
| 30 | +| [**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) | |
| 31 | +| 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. | |
| 32 | +| [**AI Observability with Redis**](https://www.youtube.com/watch?v=1e2tM5kIJ5Y) | | | |
| 33 | +| Monitor and observe AI applications using Redis for metrics collection and analysis. Learn about performance tracking, error monitoring, and system health checks. | | | |
| 34 | + |
| 35 | +## Getting Started |
| 36 | + |
| 37 | +Ready to start building AI applications with Redis? Check out our: |
| 38 | + |
| 39 | +- [AI quickstart guides]({{< relref "/develop/get-started" >}}) |
| 40 | +- [Vector search documentation]({{< relref "/develop/interact/search-and-query/advanced-concepts/vectors" >}}) |
| 41 | +- [AI ecosystem integrations]({{< relref "/develop/ai/ecosystem-integrations" >}}) |
| 42 | +- [Notebook collection]({{< relref "/develop/ai/notebook-collection" >}}) |
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