KDnuggets

Agentic RAG vs. Naive RAG: When Your Retrieval System Should Think for Itself

From static retrieval pipelines to autonomous reasoning engines: a complete breakdown of how these two architectures work, ...
VentureBeat

Mistral launches new code embedding model that outperforms OpenAI and Cohere in real-world retrieval tasks

With demand for enterprise retrieval augmented generation (RAG) on the rise, the opportunity is ripe for model providers to offer their take on embedding models. French AI company Mistral threw its ...

Why Proaction's 75-hour reduction was called RAG

If you have ever built a RAG pipeline with LangChain, your hands should stop the moment you see the headline "75-hour ...
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 ...
SiliconANGLE

Vectara raises $25M, debuts new RAG-optimized Mockingbird model

Vectara Inc., a startup that helps enterprises implement retrieval-augmented generation in their applications, has closed a $25 million early-stage funding round to support its growth efforts. The ...
InfoQ

Google Vertex AI Provides RAG Engine for Large Language Model Grounding

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ian Cooper discusses managing asynchronous ...
Hosted on MSN

Local LLM setup: how to use RAG and an embedding model to stop wasting context

Local LLMs are fantastic, and they keep getting better at a staggering pace. I have non-negotiable reasons for preferring a local setup over relying on cloud giants like Claude or ChatGPT. Because of ...
SD Times

Elastic launches low-code interface for experimenting with RAG implementation

Elastic has just released a new tool called Playground that will enable users to experiment with retrieval-augmented generation (RAG) more easily. RAG is a practice in which local data is added to an ...
Forbes

The Power Of RAG: How Retrieval-Augmented Generation Enhances Generative AI

Rahul is the Chief Product and Marketing Officer for Innodata, a global data engineering company powering next-generation AI applications. Generative AI is transforming industries and lives. It ...
Law

The Raging RAG Debate: Not All Models Are Alike

Our friends at Legaltech News joined an emerging industry discussion earlier this month with an interesting story regarding retrieval augmented generation… Our friends at Legaltech News joined an ...
InfoWorld

The limitations of model fine-tuning and RAG

The hype and awe around generative AI have waned to some extent. “Generalist” large language models (LLMs) like GPT-4, Gemini (formerly Bard), and Llama whip up smart-sounding sentences, but their ...