Databricks built a RAG agent it says can handle every kind of enterprise search

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

Restoring a Database to an Older Version of SQL Server

SQL Server backups cannot be restored to older versions directly. Use Export and Import Data-Tier Application for cross-version database migration. Reconfigure permissions, logins, and connection ...
marktechpost

How to Build an Atomic-Agents RAG Pipeline with Typed Schemas, Dynamic Context Injection, and Agent Chaining

In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds ...
GitHub

agentic-dev-io/agent-farm

agent-farm/ ├── src/agent_farm/ # Main Python package │ ├── main.py # Entry point, MCP server initialization │ ├── spec_engine.py # Spec Engine class (central component) │ ├── orgs.py # Organization ...
IEEE

AI agent for autonomous optical networks: architectures, technologies, and prospects [Invited Tutorial]

Abstract: The growing demand for high-bandwidth, zero-trouble services is imposing unprecedented challenges on optical communication networks. Traditional human-centric network management approaches ...
VentureBeat

MemRL outperforms RAG on complex agent benchmarks without fine-tuning

A new technique developed by researchers at Shanghai Jiao Tong University and other institutions enables large language model agents to learn new skills without the need for expensive fine-tuning. The ...
Seeking Alpha

Coveo Introduces RAG-as-a-Service for AWS Agentic AI Services

Enterprise-ready foundation integrates with AWS agentic AI services through a Coveo-hosted MCP Server, helping ensure every agentic response is factual, contextual, and compliant MONTREAL, Dec. 1, ...
Bloomberg L.P.

Bloomberg AI Researchers’ Advance Text-to-SQL Accuracy with Multi-Agent PExA Framework

A team of AI researchers at Bloomberg have developed PExA, an agentic framework that achieved 70.2% execution accuracy, sharing one of the top positions on the Spider 2.0 (Snow) leaderboard, one of ...
Geeky Gadgets

Gemini 3 Research Agent : Builds Reports While You Sleep

What if you could delegate your most complex research tasks to an AI that not only understands your objectives but also plans, executes, and refines its approach with precision? Enter Gemini 3, a ...
marktechpost

How to Build an Agentic Decision-Tree RAG System with Intelligent Query Routing, Self-Checking, and Iterative Refinement?

In this tutorial, we build an advanced Agentic Retrieval-Augmented Generation (RAG) system that goes beyond simple question answering. We design it to intelligently route queries to the right ...
Forbes

How Agentic RAG Is Transforming Legal Workflows And Redefining Attorney Efficiency

Legal professionals are under greater pressure than ever in recent history. Many law firms still rely heavily on manual review by paralegal teams and labor-intensive cross-referencing. All of this ...