TMCnet

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 ...

AI Concepts Software Engineers Need in 2026

Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.
Morningstar

Zilliz Open Sources Industry-First Bilingual "Semantic Highlighting" Model to Slash RAG Token Costs and Boost Accuracy

REDWOOD CITY, Calif., Jan. 30, 2026 /PRNewswire/ -- Zilliz, the company behind the leading open-source vector database Milvus, today announced the open-source release of its Bilingual Semantic ...
CMS Wire

Coveo Launches RAG-as-a-Service for AWS AI Agents

Developer impact. Developers gain a managed foundation for building compliant, contextually relevant GenAI applications. Coveo launched RAG-as-a-Service for AWS AI agents on Dec. 1, providing a ...
Hosted on MSN

AI’s engine room: How retrieval-augmented generation (RAG) is transforming the future of trustworthy intelligence

AI’s power is premised on cortical building blocks. Retrieval-Augmented Generation (RAG) is one of such building blocks enabling AI to produce trustworthy intelligence under a given condition. RAG can ...