Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

The financial markets in 2025 demand a new level of sophistication: AI-Driven Markets - Institutional players now use advanced ML models. This system levels the playing field with AI Agent integration ...

Discover CoPaw, the open-source personal AI assistant from Alibaba's AgentScope team. Learn how its ReMe memory system, local ...

The NGI Zero Commons Fund provides grants to people who help build the digital commons. Because all projects are free and ...

Endee (nD) is a specialized, high-performance vector database built for speed and efficiency. This guide covers supported platforms, dependency requirements, and ...

Safe coding is a collection of software design practices and patterns that allow for cost-effectively achieving a high degree ...

The open source MySQL spin-off has steadily added features all its own. Here are five good reasons to switch to MariaDB.

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

Docker is a widely used developer tool that first simplifies the assembly of an application stack (docker build), then allows ...

The new open-source repository delivers structured skills, slash commands, and production-ready cookbooks to reduce AI coding errors and speed up Weaviate-based application development.