Building a next-gen SOC at Pinewood, a leading MSSP, underpinned by Elastic SIEM By Sebastiaan Kors 06 June 2024 Share on Twitter Share on LinkedIn Share on Facebook Share by email Print Cybersecurity is a critical and challenging domain that requires constant vigilance, innovation, and adaptation. As cyber threats evolve…
v24 Enhanced AI Capabilities with Vector Support & Optimized Caching Performance We are thrilled to announce the general availability of Dgraph v24, which includes DQL and GraphQL support for Vector data type, HNSW vector indexes, and similarity search. Adding embeddings, from OpenAI, Mistral, or open-source models, to your knowledge graph…
NEW in Elastic 8.14: Attack Discovery, GA of ES|QL, and AI Assistant features By Dhrumil Patel,Paul Ewing,Alyssa VanNice 05 June 2024 Share on Twitter Share on LinkedIn Share on Facebook Share by email Print Elastic 8.14 is now available! This release supports our mission to modernize security operations with AI-driven…
Elastic Observability 8.14: New feature for SLO, AI Assistant, and .NET for Universal Profiling By Tom Grabowski,Christos Kalkanis 05 June 2024 Share on Twitter Share on LinkedIn Share on Facebook Share by email Print Elastic Observability 8.14 announces the general availability (GA) of key Service Level Objective (SLO) management capabilities,…
Elastic 8.14: GA of Elasticsearch Query Language (ES|QL) for simplified analysis By Brian Bergholm 05 June 2024 Share on Twitter Share on LinkedIn Share on Facebook Share by email Print Today, we are pleased to announce the general availability of Elastic 8.14. What’s new? The most significant headline of the…
Elastic Platform 8.14: ES|QL GA, encryption at rest, and vector search optimizations By Gilad Gal,Tyler Perkins,Alex Chalkias,Trevor Blackford,Ninoslav Miskovic,Fabio Busatto,Aris Papadopoulos 05 June 2024 Share on Twitter Share on LinkedIn Share on Facebook Share by email Print Elastic Platform 8.14 delivers the general availability (GA) of Elasticsearch Query Language (ES|QL)…
Elastic Search 8.14: Faster and more cost-effective vector search, improved relevance with retrievers and reranking, RAG and developer tooling By Yaru Lin,Ranjana Devaji 05 June 2024 Share on Twitter Share on LinkedIn Share on Facebook Share by email Print We're committed to pushing the boundaries of search development and focusing…
We are thrilled to unveil the latest addition to the Netdata platform: the Dynamic Configuration Manager. This powerful new feature revolutionizes how you manage your monitoring and alerting configurations, making it easier and more efficient than ever before. Key Features of the Dynamic Configuration Manager Create and Modify Alerts from…
Using Vector similarity search in DQL Similarity search in DQL Dgraph v24 introduces vector data type and similarity search to DQL query language. This post shows a simple example of using vector embeddings and similarity search. This example is using Ratel for the schema update, mutations and queries, but you…
Using Vector similarity search in GraphQL Similarity search in GraphQL This post shows a simple example of a GraphQL schema with vector embeddings and corresponding mutation and query. Deploy the following GraphQL schema: type Project { id: ID! title: String! @id title_v: [Float!] @embedding @search(by: ["hnsw(metric: euclidean, exponent: 4)"]) }…