We’re dedicated to creating a simplified developer experience. We’re releasing streamlined commands that abstract away the complexity of inference and model management work streams that you can use behind one simple API. We’re improving default settings for dense vectors and providing automatic mappings too. With one call, you can summarize results or embed text as vectors from any model, reducing the time it takes for you to build and learn.
Soon, we’ll introduce Elastic’s new serverless architecture, a new deployment option for developers who want to focus on creating innovative experiences, not managing their underlying infrastructure. We’re focused on giving you all of the tools you need, so we’re adding new language clients in our serverless architecture for Python, PHP, JavaScript, Ruby, Java, .Net, and Go.
We’re also well aware that it can be challenging to get started with fast-changing, new technologies, which is why we’re offering simple onboarding with inline guidance and code across every one of Elastic’s deployment options, including real-world examples to help you spin up new projects quickly.
There’s never been a better time to be an Elasticsearch developer. Our recent research and development efforts are making Lucene the best vector database in the world. We’re ensuring that semantic search and RAG are unparalleled when it comes to ease of use, relevance, speed, scale, and cost efficiency. And we’re putting ecosystem openness, flexibility, and simplicity at the heart of developer experience.
Ready to start building next-generation search on Elasticsearch? Try the Elasticsearch Relevance Engine™, our suite of developer tools for building AI search apps.
Leave a Reply