Explore generative AI in a free Elastic trial
Unlock powerful generative AI (GAI) capabilities using LLMs with a free 14-day trial. Test out ingesting your data, build a proof of concept, and kick the tires on Elastic's machine learning and retrieval augmented generation (RAG) capabilities. Deploy any data in any cloud — or multiple clouds — in real time, at scale.
Free trial setup
Got 10 minutes? That’s all you need.
Here’s how to set up your Elastic free trial with generative AI.
Generative AI trial FAQ
Explore some of the most frequently asked questions about our Cloud Trial experience. For more FAQ about Elastic in general, check out our FAQ page.
What can I do with generative AI?
Elastic lets you search your proprietary data and integrate with large language models using retrieval augmented generation (RAG). Your proprietary, real-time data provides additional context and accuracy to generative AI experiences. Providing highly relevant results via context window to generative AI is a cost-effective, secure alternative to building or training your own large language model.
Are there limitations to a generative AI trial with Elastic?
Elastic’s free trial lasts 14 days and lets you ingest up to 2GB of data. If you need more time to test Elastic’s capabilities or build a proof of concept, you can easily upgrade to a monthly Elastic Cloud subscription. You can spin up a trial to test using Elastic with generative AI in less than 10 minutes.
Can I use ChatGPT, Google Bard, or other LLMs?
Yes, you can use data stored within Elastic with any large language or generative AI model such as OpenAI GPT-3.5 and GPT-4, and Google Bard. Elastic serves relevant search results via context window to large language and generative AI models for responses that are domain-specific and reflect your proprietary data (while using document-level protection to control information access.)
Can I use my own machine learning model with Elastic?
With Elastic, you have complete flexibility to bring your own proprietary transformer model into Elastic or integrate with domain-specific, third-party models from public repositories like Hugging Face. You can also manage these models within Elastic.