Our 2026 AI and Search Predictions: A Mid-Year Reality Check
Five of our seven 2026 AI and search predictions have landed. Two are still playing out. Here’s the mid-year scorecard.
Search Taught Us a Critical Lesson About AI
What enterprise search taught us about content quality applies directly to enterprise AI content processing — and the stakes are much higher.
Elasticsearch isn’t your AI search problem. You are.
Why most Elasticsearch AI search projects fail in production — and why the platform is never the real problem.
Pureinsights Discovery 2.8 Introduces MCP Support for Agentic AI Applications
PRESS RELEASE – Pureinsights Discovery 2.8 brings MCP support for agentic AI plus new enterprise connectors for SharePoint Online, OracleDB, SMB, and LDAP.
Do AI Tools Matter for Search Yet?
Do AI tools matter for search yet? We analyzed our own data — and the answer is more nuanced than the hype suggests.
Highlights from Elastic{ON} London 2026
Three highlights from Elastic{ON} London 2026 — vector search costs, the Jina AI acquisition, and building AI agents on enterprise data.
From Vector Hype to Hybrid Reality: Is Elasticsearch Still the Right Bet?
Vector databases consolidated. Hybrid search won. Here’s where Elasticsearch hybrid search stands out in 2025 — and where it falls short.
From Clicks to Conversations: How AI Is Changing Search
A customer shares and article that sheds light on how AI is changing search behavior — and what conversational AI and generative answers mean for the future of search.
Modernizing Search for Information Services Providers
Pureinsights’ CEO Kamran Khan on evolving information services providers’ legacy systems to AI-powered discovery without starting over.
Why We Built Pureinsights Discovery
Video: Product Architect Andres Marenco explains the main overlying customer use cases that drove Pureinsights to build the Discovery Platform