AkasicDB integrates vector, graph, and relational stores within a single DBMS, and processes queries across the three data models as a single execution plan through an unified query planner and ...

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

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 ...

Attackers are actively exploiting path traversal and SQL injection in Langflow, LangGraph, and LangChain — below where your security tools look.

Couchbase AI Data Plane combines persistent agent memory, vector search and an enterprise MCP server that runs on-device when ...

Every developer who has spent serious time with an AI coding agent knows the ritual: open a new session, re-explain the project architecture, remind the model which patterns you use, and hope it doesn ...

Learn how LLMs are transforming schema matching through semantic reasoning while deterministic validation keeps enterprise ...

At Everpure Accelerate the company announced its Data Stream for data in real-time AI workloads and its Data Intelligence to optimize and secure data for AI workloads.

Databricks enhances its AI platform with the AI agent Genie One, which is intended to make company data usable thanks to the new context layer Ontology.

The organizations treating AI as a stack, rather than a single model integration, are building durable competitive advantages.​ ...

Abstract: Nowadays, the data used for decision-making come from a wide variety of sources which are difficult to manage using relational databases. To address this problem, many researchers have ...