One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...
Today at Microsoft’s Build Conference in Seattle, the company launched Azure Cosmos DB – a brand new schemaless database system designed for large, globally-distributed, data-intensive applications.
As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...
With Cosmos DB, Microsoft is explicitly trying to provide a cloud-native database service that offers support for multiple workload types within a single platform. Cosmos DB is an Azure-native cloud ...
Microsoft used Ignite 2025 to push Azure Cosmos DB further into AI search and agentic workflows, highlighting new capabilities aimed at developers building retrieval-heavy applications and multi-agent ...
Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a ...
Azure Cosmos DB, Microsoft’s cloud-scale distributed database, is designed to offer the APIs and the storage model you need for your applications. Want a NoSQL database? Use the MongoDB or Cassandra ...
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