Wondering how an AI agent finds the right context to complete a task? This Quick Question episode covers agentic search, agentic retrieval, and how Elasticsearch retrieves structured, unstructured, and vector-based data as the engine behind both. 0:08 - What is agentic search? 0:59 — How agentic search works under the hood 1:28 — What does the agent need to retrieve? 1:55 - What is agentic retrieval? 2:10 — Elasticsearch as the retrieval engine [Video] Quick Question - Full Episodes → Quick Question [Demo] Elastic AI Playground→ https://www.elastic.co/demo-gallery/ai-playground?utm_source=youtube&utm_medium=organic-social&utm_campaign=quick-questions-cee-gc&utm_content=ep5 Additional Resources: How to implement agentic search in Elasticsearch: https://www.elastic.co/search-labs/blog/agentic-search-relevance-autotuning-elasticsearch Learn more about Elasticsearch: https://www.elastic.co/elasticsearch Start the 14-day trial for free! No credit card required: https://cloud.elastic.co/registration Subscribe to Elastic’s Community YT channel: https://www.youtube.com/c/OfficialElasticCommunity Connect with us on social media: LinkedIn: https://www.linkedin.com/company/elastic-co X: https://twitter.com/elastic Facebook: https://www.facebook.com/elastic.co About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500. #AgenticAI #AIAgents #Elasticsearch

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