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12 changes: 11 additions & 1 deletion content/develop/ai/_index.md
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Expand Up @@ -48,7 +48,7 @@ Learn to perform vector search and use gateways and semantic caching in your AI/

| Search | LLM memory | Semantic caching | Semantic routing | AI Gateways |
| :-- | :-- | :-- | :-- | :-- |
| {{<image filename="images/ai-search.svg" alt="AI Redis icon.">}}[Vector search guide]({{< relref "/develop/interact/search-and-query/query/vector-search" >}}) | {{<image filename="images/ai-LLM-memory.svg" alt="LLM memory icon.">}}[Store memory for LLMs](https://redis.io/blog/level-up-rag-apps-with-redis-vector-library/) | {{<image filename="images/ai-brain-2.svg" alt="AI Redis icon.">}}[Semantic caching for faster, smarter LLM apps](https://redis.io/blog/what-is-semantic-caching) | {{<image filename="images/ai-semantic-routing.svg" alt="Semantic routing icon.">}}[Semantic routing chooses the best tool](https://redis.io/blog/level-up-rag-apps-with-redis-vector-library/) | {{<image filename="images/ai-model.svg" alt="AI Redis icon.">}}[Deploy an enhanced gateway with Redis](https://redis.io/blog/ai-gateways-what-are-they-how-can-you-deploy-an-enhanced-gateway-with-redis/) | {{<image filename="images/ai-brain-2.svg" alt="AI Redis icon.">}}[Semantic caching for faster, smarter LLM apps](https://redis.io/blog/what-is-semantic-caching) |
| {{<image filename="images/ai-search.svg" alt="AI Redis icon.">}}[Vector search guide]({{< relref "/develop/interact/search-and-query/query/vector-search" >}}) | {{<image filename="images/ai-LLM-memory.svg" alt="LLM memory icon.">}}[Store memory for LLMs](https://redis.io/blog/level-up-rag-apps-with-redis-vector-library/) | {{<image filename="images/ai-brain-2.svg" alt="AI Redis icon.">}}[Semantic caching for faster, smarter LLM apps](https://redis.io/blog/what-is-semantic-caching) | {{<image filename="images/ai-semantic-routing.svg" alt="Semantic routing icon.">}}[Semantic routing chooses the best tool](https://redis.io/blog/level-up-rag-apps-with-redis-vector-library/) | {{<image filename="images/ai-model.svg" alt="AI Redis icon.">}}[Deploy an enhanced gateway with Redis](https://redis.io/blog/ai-gateways-what-are-they-how-can-you-deploy-an-enhanced-gateway-with-redis/) |

## Quickstarts

Expand Down Expand Up @@ -95,6 +95,16 @@ Explore our comprehensive [ecosystem integrations page]({{< relref "/develop/ai/
* Microsoft Semantic Kernel and Kernel Memory for LLM applications
* And many more integrations to power your AI solutions

## Video tutorials

Watch our [AI video collection]({{< relref "/develop/ai/ai-videos" >}}) featuring practical tutorials and demonstrations on:

* Building RAG applications and implementing vector search
* Working with LangGraph for AI agents with memory
* Semantic caching and search techniques
* Redis integrations with popular AI frameworks
* Real-world AI application examples and best practices

## Benchmarks
See how we stack up against the competition.
* [Redis vector benchmark results](https://redis.io/blog/benchmarking-results-for-vector-databases/)
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42 changes: 42 additions & 0 deletions content/develop/ai/ai-videos.md
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---
Title: Redis AI video collection
alwaysopen: false
categories:
- docs
- develop
- ai
description: Watch video tutorials and demos showcasing Redis in AI applications, from vector search to RAG implementations.
linkTitle: AI videos
weight: 60
---

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.

| | | |
|---|---|---|
| [**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
| | | |
|---|---|---|
| [**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. |

| [**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
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Should be an h2, otherwise the sidebar is indented strangely.

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### 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.

| 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:

- [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" >}})
6 changes: 5 additions & 1 deletion content/develop/ai/ecosystem-integrations.md
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Expand Up @@ -31,4 +31,8 @@ Redis integrates with a wide range of AI frameworks, platforms, and tools to enh

## Getting started

To learn more about using Redis with AI frameworks and tools, check out our [AI notebooks collection]({{< relref "/develop/ai/notebook-collection" >}}) and [RAG quickstart guide]({{< relref "/develop/get-started/rag" >}}).
To learn more about using Redis with AI frameworks and tools, check out our:

* [AI notebooks collection]({{< relref "/develop/ai/notebook-collection" >}}) - Interactive code examples and tutorials
* [AI video collection]({{< relref "/develop/ai/ai-videos" >}}) - Video tutorials and demonstrations
* [RAG quickstart guide]({{< relref "/develop/get-started/rag" >}}) - Get started with Retrieval-Augmented Generation
7 changes: 7 additions & 0 deletions content/develop/ai/notebook-collection.md
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Expand Up @@ -32,3 +32,10 @@ weight: 40
| Content filtering with RedisVL | Recommendation Systems | Introduction to content-based filtering. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/recommendation-systems/00_content_filtering.ipynb) |
| Collaborative filtering with RedisVL | Recommendation Systems | Intro to collaborative filtering with RedisVL. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/recommendation-systems/01_collaborative_filtering.ipynb) |
| Advanced RAG example | Best Practices | Demonstrates mature RAG implementation patterns. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/RAG/04_advanced_redisvl.ipynb) |

## Additional resources

Looking for more ways to learn about Redis for AI? Check out our:

* [AI video collection]({{< relref "/develop/ai/ai-videos" >}}) - Video tutorials and demonstrations covering Redis AI concepts
* [Ecosystem integrations]({{< relref "/develop/ai/ecosystem-integrations" >}}) - Learn how Redis works with popular AI frameworks and tools