By releasing the code behind its search and vector engine under the SSPL, MongoDB is giving self‑managed users new visibility ...

ScyllaDB’s integrated Vector Search can handle datasets of 1 billion vectors with P99 latency as low as 1.7 ms and throughput up to 252,000 QPSSUNNYVALE, Calif., Jan. 20, 2026 (GLOBE NEWSWIRE) -- ...

Solution provides advanced point-in-time recovery and immutable backups for vector retrieval workloads, enabling ...

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...

Strategic Integration of Generative AI 'Semantic Memory' via OpenAI and Pinecone Vector Database Supports Rapid Expansion of ...

Zilliz Cloud introduces a cloud-native multi-layer storage architecture that automatically places data across memory, loal SSD, and object storage based on access patterns. Hot data stays fast, cold ...

What makes backers stay in when many startups still burn cash? A closer look at where the money goes (and the pay-off ...

ScyllaDB today announced the general availability of its new Vector Search capability, which is integrated into ScyllaDB X Cloud. This high-performance vector search supports the industry’s largest ...

Artificial Intelligence and Data Science are among the fastest-growing and most transformative domains in technology today, driving innovation across industries such as healthcare, finance, retail, ...

Every time we open ChatGPT, Claude, or Gemini, we start from zero. Each conversation, each prompt, each insight erased the ...

Data retrieval and embeddings enhancements from MongoDB set the stage for a year of specialized AI - SiliconANGLE ...

Sathe says that Nightfall closes the real-time data exfiltration gap with an AI-native security architecture that operates directly at the browser, endpoint and SaaS layers i.e. where modern ...