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 ...
i-SCOOP

Context graph

Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology ...
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.
InfoQ

Reducing False Positives in Retrieval-Augmented Generation (RAG) Semantic Caching: a Banking Case Study

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Searchenginejournal.com

Google’s New BlockRank Democratizes Advanced Semantic Search

A new research paper from Google DeepMind proposes a new AI search ranking algorithm called BlockRank that works so well it puts advanced semantic search ranking within reach of individuals and ...
Forbes

How To Prepare For The Arrival Of Exhaustive Semantic Search

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. For years, “search” at enterprises has meant the same ritual: An analyst guesses keywords, ...