Cisco’s team of over 11,000 customer support engineers required a more efficient process to handle nearly two million service requests annually and ensure real-time support for customer issues. A modern, search AI experience was the answer. With Elastic’s integrated, advanced search capabilities, Cisco.com users now receive detailed, easy-to-consume results with direct links to relevant content. The new search architecture solution […]

Labelbox built a customizable AI platform on Elastic designed to enhance training data quality and model performance for their Catalog solution, helping AI teams accelerate machine learning development. After the deployment of Elasticsearch, search times improved drastically to about one second, enabling complex searches and sophisticated analytics for better data curation decisions. Reduced search response time from 20 seconds to […]

Overview Search has been a driver of improved customer and employee experience for years — yet recent breakthroughs in generative AI present new opportunities for enterprise investment. This short introduction highlights the fundamentals of implementing search, how AI can level-up search relevance, and the critical role search plays in generative AI. See how Elastic can help you securely use proprietary […]

Generative AI (GenAI) is changing how forward-looking organizations approach search, knowledge management, and other forms of knowledge discovery. Search is foundational for helping organizations discover, analyze, and utilize key data. However, with ever-increasing amounts of data, legacy search systems can struggle to help users quickly find what they need and avoid wasting time. Modern search systems have made great leaps […]

There’s never been a better time to create exceptional search experiences. By leveraging the capabilities of LLMs and generative AI, we can predict user intent, improve relevance, surface timely content, and even provide human-like responses. But one size doesn’t fit all for search. You can utilize out-of-the-box technology, build your own with feature-rich, custom design and functionality, or anything in-between. […]

Overview This is part one of a two-part series on the journey to semantic search and generative AI excellence. Join us as we guide you through the spectrum of search methodologies, the steps to building search that understands the meaning of a query, and the choices and options along this path. We’ll start with foundational text search using BM25 and […]

Overview Join us to explore advanced techniques in retrieval augmented generation (RAG). This talk is for developers, data scientists, and AI enthusiasts, and provides essential insights to elevate your RAG systems. If you’ve played around with RAG, and are looking to optimize existing implementations, our speakers will discuss practical steps to help you build RAG-based systems that run in production […]

This technical whitepaper takes you deep into the inner workings of generative AI and vector databases. It provides a detailed look at the technical foundations of vector embeddings, generative AI architecture, and how retrieval-augmented generation (RAG) works to provide LLMs with the critical domain-specific knowledge they need. Highlights Demystifying ChatGPT: Different methods for building AI search Generative AI architectures with […]