0 to 60 with Elastic AI Assistant for Search and Azure OpenAI
Elasticsearch has something new in store: the Elastic AI Assistant for Search. Think of it as a built-in guide for developers working within Elasticsearch and Kibana — designed to answer questions, walk you through features, and make your life a bit easier. Powered by Microsoft AI Services, it brings in retrieval augmented generation (RAG) to make interactions with Elastic’s search solution smoother and more intuitive.
A developer-friendly help center right where you need it
With Elastic AI Assistant, you’re not just getting documentation — you’re getting an in-product assistant that knows the Elasticsearch and Kibana landscape. This assistant makes it easy to explore Elastic’s tools, guiding you through key tasks like dashboard creation and report generation.
Built for developers: The assistant is specifically tailored for developers with insights on Elasticsearch features, APIs, and workflows.
Ready to use out of the box: No extensive setup needed — the assistant comes preloaded with Elastic’s own AI defaults, so you can get help right away.
Elastic documentation at your fingertips
Elastic AI Assistant integrates directly with Elastic’s documentation. No more flipping between windows or tabs to find the right section — just ask the assistant, and it will bring up relevant guides and tutorials.
Quick documentation access: Have questions? Get instant answers from Elastic’s library — all while staying in your current workflow.
- Contextual help: The assistant knows what you’re working on, so it brings up the sections that actually matter right when you need them.
Smarter responses in Kibana
When working in Kibana, the assistant’s RAG-based approach really shines. By tapping into Microsoft AI Services, it can better understand your search context and respond with helpful guidance tailored to Kibana workflows.
Context-aware help: The assistant’s responses are crafted based on what you’re doing in Kibana, making it easier to navigate through complex tasks.
- Task-specific guidance: Whether you’re building dashboards or visualizing data, the assistant provides guidance that’s relevant to the task at hand.
Microsoft OpenAI Services powering the Assistant
The heavy lifting behind Elastic AI Assistant is done by Microsoft Azure OpenAI Services, which adds robust language capabilities. This means the assistant can handle more complex, nuanced queries and provide answers that fit right into what you’re working on.
Detailed, contextual responses: Microsoft AI models ensure the assistant delivers precise answers that make Elasticsearch and Kibana more approachable.
Enterprise-grade security: All interactions are secured by Azure, meeting the compliance needs of even the most regulated industries.
See detailed instructions for setting up your Azure OpenAI connector.
Bring your own data (or third-party data)
With Elastic AI Assistant, you can customize the experience by pulling in data from your own sources or adding external information via Elastic’s web crawlers. This makes it easy to build a personalized help experience, especially when your organization relies on specific data beyond Elastic’s built-in resources.
Learn more about the Elastic AI Assistant for Search
Elastic’s new AI Assistant for Search — powered by Microsoft AI Services — will be available in Elastic Cloud Serverless coming soon. It will offer developers a built-in, task-oriented help center to boost productivity and engagement. To learn more about the Elastic AI Assistant for Search, please visit the 8.16 blog announcement.
Join us at the Microsoft Ignite conference in Chicago on November 18, 2024, where we’ll showcase how this new tool can transform search and knowledge management for developers.
The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.
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