Accelerating creativity with Elasticsearch vector database and the Dell AI Data Platform

Building a next-gen content portal? Automating QA for video output? Enhancing editorial workflows with AI? In today’s high-velocity creative industries, such as media, gaming, design, and animation, every second of productivity matters. Teams need instant access to vast troves of unstructured data, including assets, metadata, and context across global studios. With AI becoming central to production pipelines, the underlying data infrastructure must store petabytes of data economically and then make it discoverable, actionable, and fast for creative decisions.

That’s why we’re excited to collaborate with Dell and NVIDIA to power the Dell AI Data Platform — a tightly integrated, modular stack that integrates the NVIDIA AI Data Platform reference design to support  everything from rendering and inferencing to hybrid search and retrieval augmented generation (RAG). The collaboration revolves around providing Elasticsearch as the unstructured data engine to deliver fast, flexible semantic search for data teams working across time zones and terabytes of content.

With semantic search powered by the Elasticsearch vector database on the Dell AI Data Platform, creative teams can go from idea to output faster than ever by:

• Searching for clips using natural language

• Instantly surfacing assets tied to audience engagement data

• Collaborating globally across distributed teams without friction

• Integrating AI-generated summaries, descriptions, or tags into dashboards and production tools

Dell AI Data Platform empowers enterprises to move beyond silos by integrating cutting-edge software, data management, and storage into an open, flexible, secure, and scalable architecture. This provides creative industries the power to handle demanding workloads like machine learning, advanced analytics, and AI model training. The AI Data Platform enables seamless data placement, processing, and protection.

Elasticsearch is the most widely downloaded vector database in the world and is purpose-built to store and search across structured, unstructured, and vector data in a single, flexible system built for full-text, semantic, and hybrid search. This is critical for asset-heavy pipelines in media and entertainment, where search needs to span everything from animation files and scripts to video segments, speech transcripts, and scene metadata. Elasticsearch delivers lightning-fast, millisecond-latency search powered by Lucene, so you get instant answers at scale. It handles petabytes with ease, meets your data where it lives, and gets it ready to search, analyze, and act on quickly. 

With recent innovations like Better Binary Quantization for faster memory-efficient vector search and ACORN for high-speed filtered retrieval, Elasticsearch continues to push the boundaries of what’s possible in AI discovery.

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.

In this blog post, we may have used or referred to third party generative AI tools, which are owned and operated by their respective owners. Elastic does not have any control over the third-party tools and we have no responsibility or liability for their content, operation or use, nor for any loss or damage that may arise from your use of such tools. Please exercise caution when using AI tools with personal, sensitive or confidential information. Any data you submit may be used for AI training or other purposes. There is no guarantee that information you provide will be kept secure or confidential. You should familiarize yourself with the privacy practices and terms of use of any generative AI tools prior to use. 

Elastic, Elasticsearch, and associated marks are trademarks, logos, or registered trademarks of Elasticsearch N.V. in the United States and other countries. All other company and product names are trademarks, logos, or registered trademarks of their respective owners.