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Copy file name to clipboardExpand all lines: content/develop/ai/index.md
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1.[**Search with vectors**]({{< relref "develop/interact/search-and-query/advanced-concepts/vectors#search-with-vectors" >}}): Redis supports several advanced querying strategies with vector fields including k-nearest neighbor ([KNN]({{< relref "develop/interact/search-and-query/advanced-concepts/vectors#knn-vector-search" >}})), [vector range queries]({{< relref "develop/interact/search-and-query/advanced-concepts/vectors#vector-range-queries" >}}), and [metadata filters]({{< relref "develop/interact/search-and-query/advanced-concepts/vectors#filters" >}}).
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1.[**Configure vector queries at runtime**]({{< relref "develop/interact/search-and-query/advanced-concepts/vectors#runtime-query-parameters" >}}). Select the best filter mode to optimize query execution.
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#### Learn how to index and query vector embeddings
Learn to perform vector search and use gateways and semantic caching in your AI/ML projects.
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#### Agents
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AI agents can act autonomously to plan and execute tasks for the user.
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*[Redis Notebooks for LangGraph](https://github.com/redis-developer/langgraph-redis/tree/main/examples)
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*[Notebook to get started with LangGraph and agents](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/agents/00_langgraph_redis_agentic_rag.ipynb)
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*[Build a collaborative movie recommendation system using Redis for data storage, CrewAI for agent-based task execution, and LangGraph for workflow management.](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/agents/01_crewai_langgraph_redis.ipynb)
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