Operations | Monitoring | ITSM | DevOps | Cloud

August 2024

aNN vs kNN: Understand their differences and roles in vector search

In today's digital era — where data grows exponentially and becomes increasingly complex — the ability to efficiently search and analyze this vast ocean of information has never been more important. But it's also never been more challenging. It's like trying to find a needle in a haystack but with the added challenge of the needle constantly changing its form. This is where vector search emerges as a game-changer, changing how we interact with large data sets.

IBM partners with Elasticsearch to deliver Conversational Search with watsonx Assistant

To meet customer needs for scale, speed, and precision, IBM partners with Elasticsearch to deliver retrieval augmented generation (RAG) capabilities that can be seamlessly integrated into the IBM watsonx Assistant’s new Conversational Search feature. Customers using IBM watsonx Assistant and watsonx Orchestrate can now build conversational AI assistants grounded on their company data with comprehensive search capabilities with RAG.

Stack Overflow rolls out generative AI using Elasticsearch and Azure Open AI

Stack Overflow puts Elastic at the heart of OverflowAI powered by Azure OpenAI, a new search tool that enables developers to retrieve trusted information from a knowledge base of 60 million questions and answers. About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

Elastic named a Leader in the 2024 Gartner Magic Quadrant for Observability Platforms

Elastic has been named a Leader in the 2024 Gartner Magic Quadrant for Observability Platforms. The need for observability platforms continues to evolve as operations teams deal with increased complexity and exponential data growth. Emerging trends like generative AI are driving a paradigm shift in proactive root cause detection and resolution.

Beyond RAG basics: Advanced strategies for AI applications

Our recent virtual event with Cohere dove deep into the world of retrieval augmented generation (RAG), focusing on the critical considerations for building RAG applications beyond the proof-of-concept stage. Our speakers, Lily Adler, principal solutions architect at Elastic, and Maxime Voisin, senior product manager at Cohere, shared valuable insights on the challenges, solutions, and best practices in this evolving field of natural language processing (NLP).

Elastic Search 8.15: Accessible semantic search with semantic text and reranking

In 8.15, great search results are even more accessible for our customers. Our latest release brings semantic reranking, additional vector search tools, and more third-party model providers and promotes our native Learning to Rank (LTR) to generally available. And now search is more performant than ever with additional speed and efficiency improvements.

Elastic Observability 8.15: AI Assistant, OTel, and log quality enhancements

Elastic Observability 8.15 announces several key capabilities: New and enhanced native OpenTelemetry capabilities: Elastic AI Assistant enhancements: Large language model (LLM) observability for Azure OpenAI: Elastic Observability now provides deep visibility on the usage of the Azure OpenAI Service. The integration includes an out-of-the-box dashboard that summarizes the most relevant aspects of the service usage, including request and error rates, token usage, and chat completion latency.