RAG vs Long Context for LLMs : When Each Approach Works Best

Choosing RAG or long context depends on dataset size, with RAG suited to dynamic knowledge bases and long context best for bounded files.

Agents need vector search more than RAG ever did

Qdrant's $50M Series B and version 1.17 release make the case that agentic AI didn't simplify vector search — it scaled the ...

[Ends March 11] Unlocking Data with Generative AI and RAG eBook (worth $35.99) now free[Ends March 11] Unlocking Data with Generative AI and RAG eBook (worth $35.99) now free0 0

Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.

POMA AI Achieves Best-in-Class RAG Chunking and Document Ingestion With 77% Token Reduction vs. Conventional Models

Out of the box,POMA PrimeCut uses 77% fewer tokens than conventional models. The figure rises to 83% when used in customized configurations.

An Al Tried to Escape The Lab : AI Safety Tests Flag Deceptive Model Behavior

Advanced AI models show deception in lab tests; a three-level risk scale includes Level 3 “scheming,” raising oversight concerns.
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New Databricks KARL RAG Agent Promises 33% Cost Reduction vs. Claude Opus 4.6

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