Google Vertex AI Provides RAG Engine for Large Language Model Grounding

Vertex AI RAG Engine is a managed orchestration service aimed to make it easier to connect large language models (LLMs) to external data sources to be more up-to-date, generate more relevant responses, and hallucinate less.

Nvidia Ingest Aims to Make it Easier to Extract Structured Information from Documents

Nvidia Ingest is a new microservice aimed at processing document content and extracting metadata into a well-defined JSON schema. Ingest is able to process PDFs, Word, and PowerPoint documents and extract structured information from tables, charts, images, and text using optical character recognition.

Microsoft Phi-4 is a Small Language Model Specialized for Complex Math Reasoning

Phi-4 is 14B parameter model from Microsoft Research that aims to improve the state of the art for math reasoning. Previously available on Azure AI Foundry, Phi-4 has recently become available on Hugging Face under the MIT license.

Gemini 2.0 Family Expands with Cost-Efficient Flash-Lite and Pro-Experimental Models

Announced last December, the Gemini 2.0 family of models now has a new member, Gemini 2.0 Flash-Lite, which Google says is cost-optimized for large scale text output use cases and is now available in preview. Along with Flash-Lite, Google also announced Gemini 2.0 Pro.

Distributed Multi-Modal Database Aerospike 8 Brings Support for Real-Time ACID Transactions

Aerospike has announced version 8.0 of its distributed multi-modal database, bringing support for distributed ACID transactions. This enables large-scale online transaction processing (OLTP) applications like banking, e-commerce, inventory management, health care, order processing, and more, says the company.