Agents need vector search more than RAG ever did

Qdrant's $50M Series B and version 1.17 release make the case that agentic AI didn't simplify vector search — it scaled the ...
Geeky Gadgets

RAG vs Long Context for LLMs : When Each Approach Works Best

Large Language Models (LLMs) have transformed natural language processing, but their limitations, such as fixed training data and lack of real-time updates, pose challenges for certain applications.
dbta

RAG Has a Dirty Little Secret: Here’s How to Clean It Up and Get GenAI Right

Retrieval-augmented generation (RAG) has become a go-to architecture for companies using generative AI (GenAI). Enterprises adopt RAG to enrich large language models (LLMs) with proprietary corporate ...
Forbes

Why RAG Alone Isn't Enough To Achieve Real ROI In The Agentic AI Era

If you looked under the hood of generative AI (GenAI) technologies over the last year or so, you probably came across the concept of retrieval augmented generation (RAG). RAG has gained a lot of buzz, ...

How Conversational AI Is Rewriting Travel Planning

The recently popularized summarization feature on search platforms such as Google, which leverages its Gemini AI tool, brings retrieval-augmented generation (RAG) to the forefront as one of the ...
Geeky Gadgets

RAG vs CAG : Solving Knowledge Gaps for Smarter AI Workflows

Imagine asking a question to your favorite AI assistant, only to receive an outdated or incomplete answer. Frustrating, right? Large Language Models (LLMs) are undeniably powerful, but they have a ...
Vogue

Rag & Bone Launches “Quality Guaranteed,” Making Do and Mending Products for Customers

Peek inside a Rag & Bone sweater or pair of jeans and you’ll find the words quality guaranteed on the tag. “We’ve had quality guaranteed on the clothes for so long…maybe even since inception,” says ...