Spiceworks on MSN

Beyond RAG as a buzzword: Aligning AI retrieval with real-world use

RAG talk is prevalent, yet simply stating “we used RAG” fails to provide much information about its effectiveness in a production environment. A more effective approach is to examine how you align ...
Business Insider

Progress Agentic RAG Named 2026 AI Excellence Award Winner for Advancing Retrieval-Augmented Generation

Recognition underscores Progress Software’s innovation in removing barriers to GenAI research and making trustworthy RAG accessible to organizations of any size BURLINGTON, Mass., May 14, 2026 (GLOBE ...
VentureBeat

Databricks tested a stronger model against its multi-step agent on hybrid queries. The stronger model still lost by 21%.

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...
GitHub

Agentic RAG for Dummies

Step-by-step tutorial perfect for understanding core concepts. Start here if you're new to Agentic RAG or want to experiment quickly. 💡 Optional: If you want to visually inspect or edit your chunks ...
InfoQ

Building Hierarchical Agentic RAG Systems: Multi-Modal Reasoning with Autonomous Error Recovery

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...
Microsoft

Advancing agentic AI with Microsoft databases across a unified data estate

This week, we are excited to kick off SQLCon 2026 alongside FabCon in Atlanta. Bringing these SQL and Fabric communities together creates a unique opportunity to learn, connect, and share what’s next ...
Geeky Gadgets

Agent Skills vs RAG : Why Procedural Workflows Are Replacing Long Prompts

Agent skills, introduced by Anthropic, are modular workflows designed to enhance AI systems by focusing on task-specific execution. Each skill is defined by a metadata file and may include additional ...
VentureBeat

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

Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports handles constraint-driven entity search ...
IEEE

To RAG or Not to RAG, That Is the Question: Effective Text-to-SQL Generation Under Ambiguity

Abstract: Natural language interfaces to databases promise to democratize data access, yet current Text-to-SQL systems fail to address a fundamental challenge: user questions are often ambiguous.