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Merge pull request #2242 from redis/fix-agent-doc-links
Fix agent doc links
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content/develop/ai/agent-builder/_index.md

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### Redis AI documentation
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- [Redis Vector Search](/develop/interact/search-and-query/vector-search/) - Semantic search capabilities
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- [Redis Vector Search]({{< relref "/develop/ai/search-and-query/vectors/" >}}) - Semantic search capabilities
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- [Redis Streams](/develop/data-types/streams/) - Real-time data and conversation history
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- [AI Notebooks Collection](/develop/ai/notebook-collection/) - Interactive tutorials and examples
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- [Ecosystem Integrations](/develop/ai/ecosystem-integrations/) - Redis with AI frameworks
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- [AI Notebooks Collection]({{< relref "/develop/ai/notebook-collection" >}}) - Interactive tutorials and examples
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- [Ecosystem Integrations]({{< relref "/develop/ai/ecosystem-integrations" >}}) - Redis with AI frameworks
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### Community and support
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- Join the [Redis Discord](https://discord.gg/redis) for community support
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- Explore [Redis AI Resources on GitHub](https://github.com/redis-developer/redis-ai-resources)
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- Watch [AI Video Collection](/develop/ai/ai-videos/) for tutorials and demonstrations
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- Watch [AI Video Collection]({{< relref "/develop/ai/ai-videos" >}}) for tutorials and demonstrations

content/develop/ai/agent-builder/agent-concepts.md

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- SVS-VAMANA leverages Intel hardware acceleration for enhanced performance
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- Hybrid search combining vector similarity with metadata filtering
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- Real-time updates without index rebuilds
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- [Learn more about Redis Vector Search →](/develop/interact/search-and-query/advanced-concepts/vectors/)
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- [Learn more about Redis Vector Search →]({{< relref "/develop/ai/search-and-query/vectors/" >}})
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**Agent memory**
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- **Short-term**: Conversation context and session state
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<div>
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<div class="bg-gray-50 dark:bg-gray-800 p-4 rounded-lg border border-gray-200 dark:border-gray-700 mb-4">
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<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
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<h3 class="no-toc">Conversational assistants</h3>
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Build chatbots and virtual assistants that:
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[Build a conversational agent →](../)
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</div>
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<div class="bg-gray-50 dark:bg-gray-800 p-4 rounded-lg border border-gray-200 dark:border-gray-700 mb-4">
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<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
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<h3 class="no-toc">Recommendation engines</h3>
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Create intelligent recommendation systems that:
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[Build a recommendation agent →](../)
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</div>
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<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
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<h3 class="no-toc">Task automation agents</h3>
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Automate complex workflows and business processes:
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- Monitor and report on task completion
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</div>
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<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
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<h3 class="no-toc">Data analysis agents</h3>
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Process and analyze large datasets intelligently:
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- Create visualizations and dashboards
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</div>
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<div class="bg-gray-50 dark:bg-gray-800 p-4 rounded-lg border border-gray-200 dark:border-gray-700 mb-4">
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<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
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<h3 class="no-toc">Content generation agents</h3>
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Create and manage content at scale:
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<div>
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<div class="bg-gray-50 dark:bg-gray-800 p-4 rounded-lg border border-gray-200 dark:border-gray-700 mb-4">
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<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
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<h3 class="no-toc">Customer support agents</h3>
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Provide intelligent customer service:
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- Learn from interactions to improve responses
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<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
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<h3 class="no-toc">Research and retrieval agents</h3>
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Find and synthesize information from multiple sources:
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- Maintain up-to-date knowledge repositories
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</div>
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<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
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<h3 class="no-toc">Monitoring and alerting agents</h3>
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Watch systems and notify when action is needed:
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- Suggest remediation actions
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</div>
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<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
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<h3 class="no-toc">Personal productivity agents</h3>
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Help users manage tasks and information:
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- Learn user preferences and habits
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<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
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<h3 class="no-toc">Trading and financial agents</h3>
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Make intelligent financial decisions:
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- Key benefits: High-performance vector similarity search, multiple distance metrics, real-time indexing
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- Implementation: RAG systems, semantic memory, content discovery, personalized recommendations
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- Queries: K-nearest neighbor search, range queries, hybrid filtering with metadata
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- [Learn about Redis Vector Sets →](/develop/data-types/vector/)
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- [Learn about Redis Vector Sets →]({{< relref "/develop/data-types/vector-sets" >}})
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### Redis Sorted Sets for Rankings and Priorities
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- Load balancing: Distribute requests across agent instances
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- Redis clustering: Scale data storage across multiple nodes
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- Caching layers: CDN for static content, Redis for dynamic data
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- [Learn about Redis scaling →](/operate/rs/clusters/)
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- [Learn about Redis scaling →]({{< relref "/operate/rs/clusters" >}})
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### Cost Optimization
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- LLM cost management: Use appropriate models for different tasks
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- Redis memory optimization: Efficient data structures and TTL policies
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- API rate limiting: Prevent excessive external API calls
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- Resource monitoring: Track and optimize compute and storage costs
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- [Redis performance optimization →](/operate/rs/administering/database-operations/memory-performance/)
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- [Redis performance optimization →]({{< relref "/operate/rs/databases/memory-performance" >}})
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---
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## Key takeaways
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<div class="bg-gray-50 dark:bg-gray-800 p-6 rounded-lg border border-gray-200 dark:border-gray-700 my-8">
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**What makes agents different:**
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Agents maintain memory, plan multi-step tasks, and learn from interactions—unlike simple chatbots.
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Ready to build your AI agent with Redis?
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**Get started:**
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- [Use the agent builder](/develop/ai/agent-builder/) to generate your code and get started
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- [Redis quick start guide](/develop/get-started/) for setting up Redis
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- [Use the agent builder]({{< relref "/develop/ai/agent-builder" >}}) to generate your code and get started
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- [Redis quick start guide]({{< relref "/develop/get-started" >}}) for setting up Redis
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**Learn more:**
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- [Redis Vector Search documentation](/develop/interact/search-and-query/advanced-concepts/vectors/)
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- [RedisVL Python library](/develop/clients/redisvl/) for vector operations and AI workflows
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- [Redis Vector Search documentation]({{< relref "develop/ai/search-and-query/vectors" >}})
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- [RedisVL Python library]({{< relref "develop/clients/redis-vl" >}}) for vector operations and AI workflows
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- [Redis data structures guide](/develop/data-types/)
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- [Redis client libraries](/develop/clients/) for your programming language
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- [Redis client libraries]({{< relref "/develop/clients" >}}) for your programming language
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**Deploy and scale:**
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- [Redis Cloud](/operate/rc/) for managed Redis hosting
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- [Redis Enterprise](/operate/rs/) for on-premises deployment
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- [Performance optimization](/operate/rs/administering/database-operations/memory-performance/) best practices
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- [Redis Cloud]({{< relref "/operate/rc" >}}) for managed Redis hosting
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- [Redis Enterprise]({{< relref "/operate/rs" >}}) for on-premises deployment
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- [Performance optimization]({{< relref "/operate/rs/databases/memory-performance" >}}) best practices

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