Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
Security Boulevard

Securing the Knowledge Layer: Enterprise Security Architecture Frameworks for Proprietary Data Integration With Large Language Models

A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.
VentureBeat

Voyage AI's multilingual embeddings boost Snowflake's Cortex AI for improved enterprise RAG

In the world of Retrieval Augmented Generation (RAG) for enterprise AI, embedding models are critical. It is the embedding model that essentially translates different types of content into vectors, ...
eWeek

What is Retrieval-Augmented Generation? How it Works & Use Cases

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Dify Makes Self-Hosted LLM Development Simple : Swap Models, Add RAG & Launch Faster

Self-host Dify in Docker with at least 2 vCPUs and 4GB RAM, cut setup friction, and keep workflows controllable without deep ...