Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

The vector database market is experiencing rapid growth, with projections estimating it will reach $10.6 billion by 2032, ...

and any data that doesn't adhere to a predefined data model. Vector databases, on the other hand, store and process data in the form of vector embeddings, which convert text, documents ...

Next-Gen Conversational Analytics Now Available, Secure, and Fully Embeddable SAN FRANCISCO, CA / ACCESS Newswire / May 29, ...

“RAG allows you to do things like role-based access control,” explains Saunders. “When you’re connecting to a data source, ...

The updates span Microsoft Fabric, Azure Cosmos DB, SQL Server, Power BI, PostgreSQL and integrations with Databricks Inc.’s ...

Key Takeaways OpenAI's breakthrough started with brain-inspired networks everyone can learnFinancial institutions pay ...

AI’s growth is limited by poor-quality data, not model size. Human expertise in data curation, decentralized feedback and ...

As AI adoption accelerates, organizations increasingly rely on vector databases to store and retrieve high-dimensional data used in AI and machine learning models. However, ensuring secure and ...

Microsoft said on Monday it would offer new AI models made by Elon Musk's xAI, Meta Platforms and European startups Mistral ...