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What you can do with AI Search Notebooks downloads
AI Search Notebooks content shows how AI assistants, agents, workflows, and reusable skills can support Elastic search, security, observability, and dashboard tasks.
How should I use these examples?
Download the content, import it into your Elastic environment, review the saved objects or rules, and adapt the fields, filters, and visualizations to your own data.
Where should I go next?
Use the related collections below to move between dashboards, security content, observability examples, pipelines, Elasticsearch resources, and AI-assisted Elastic workflows.
Explore Elastic content
Start from a use case, solution area, or content type to find useful Elastic resources.
End-to-End Observability
Business Critical Service health across UX, CDN, origin, network, and platform—including async hops without a single shared trace.
Kubernetes Observability
Kubernetes monitoring, OpenTelemetry, SLO, EKS, and ECK resources for Elastic users.
Network Observability
Packetbeat, DNS analytics, network signals, and observability patterns for Elastic.
Telco industry
Telco-focused paths for network visibility, service reliability, Kubernetes, and security monitoring.
Kibana dashboards
Ready-to-use dashboard examples for visualizing Elasticsearch data.
AI Search Notebooks downloads
Prototype semantic search and RAG in Elasticsearch faster. Use this notebook pack when you want working examples for ELSER, hybrid search, reranking, LangChain, Bedrock, Cohere, Hugging Face, and AI search apps instead of starting from a blank notebook.
More about AI Search Notebooks
Hands-on notebooks and examples for semantic search, RAG, vector search, and AI-assisted search workflows in Elastic.