Why MongoDB thinks better retrieval — not bigger models — is the key to trustworthy enterprise AI

As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...

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 ...
Geeky Gadgets

LangExtract and RAG : Smarter Retrieval with Metadata Filtering

What if the key to unlocking smarter, faster, and more precise data retrieval lay hidden in the metadata of your documents? Imagine querying a vast repository of technical manuals, only to be ...
Geeky Gadgets

Unlock Hidden Data Insights with GraphRAG: The Future of AI Retrieval

What if your AI could not only retrieve information but also uncover the hidden relationships that make your data truly meaningful? Traditional vector-based retrieval methods, while effective for ...

Data, Platforms And Agents: How Artificial Intelligence Will Define The Next Decade

Companies investing in unified, managed and rich data layers will drive innovation in the coming decade. Through these ...
CIO Applications

The Next Era of Enterprise AI: Powered by Retrieval

Widespread amazement at Large Language Models' capacity to produce human-like language, create code, and solve complicated ...
GovCon Wire

Unisys to Update IRS Fuel Tax Data Retrieval System; PV Puvvada Comments

TYSONS CORNER, VA, May 4, 2017 ” Unisys (NYSE: UIS) will provide system operations, maintenance and update services in support of the Internal Revenue Service‘s Excise Files Information Retrieval ...
The Register on MSN

Researchers poison stolen data to make AI systems return wrong results

Wanted: Chief Disinformation Officer to pollute company knowledge graphs Researchers affiliated with universities in China ...