Techzine Europe

RAG ‘2.0’: the Instructed Retriever links AI agents to the right data

The Instructed Retriever is set to replace RAG on a large scale. Databricks sees a 70 percent improvement with the ...

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

Unlock Next-Level RAG Performance with the Jina v4 Embedding Model

What if the key to unlocking next-level performance in retrieval-augmented generation (RAG) wasn’t just about better algorithms or more data, but the embedding model powering it all? In a world where ...
InfoWorld

How to build RAG at scale

Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...
Benzinga.com

LightOn Unlocks Agentic RAG with new SOTA Model Reason-ModernColBERT

After the recent release of GTE-ModernColBERT exhibiting state-of-the-art results on long-context retrieval, LightOn announces a major leap forward in AI-driven knowledge discovery: ...
Geeky Gadgets

How to Build Enterprise AI Apps with Multi-Agent RAG Systems (MARS)

In the rapidly evolving landscape of enterprise AI, Multi-Agent Retrieval-Augmented Generation (MARS) systems are emerging as a cornerstone technology. These sophisticated systems, developed in ...
VentureBeat

Facebook open-sources RAG, an AI model that retrieves documents to answer questions

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