HackerNoon

RAG, AI Agents, and Agentic AI: Most Developers Are Confusing All Three

RAG, AI Agents, and Agentic AI are three different things. Most developers are building the wrong one. Here is the clearest ...
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 ...
VentureBeat

Vectara raises $25M as it launches Mockingbird LLM for enterprise RAG applications

Vectara, an early pioneer in Retrieval Augmented Generation (RAG) technology, is raising a $25 million Series A funding round today as demand for its technologies continues to grow among enterprise ...
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 ...
ZDNet

Want generative AI LLMs integrated with your business data? You need RAG

RAG is an approach that combines Gen AI LLMs with information retrieval techniques. Essentially, RAG allows LLMs to access external knowledge stored in databases, documents, and other information ...
TechRepublic

Retrieval Augmented Generation: What It Is and Why It Matters for Enterprise AI

DataStax’s CTO discusses how Retrieval Augmented Generation (RAG) enhances AI reliability, reduces hallucinations, and transforms information retrieval. Retrieval Augmented Generation (RAG) has become ...
VentureBeat

Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

AI vibe coders have yet another reason to thank Andrej Karpathy, the coiner of the term. The former Director of AI at Tesla and co-founder of OpenAI, now running his own independent AI project, ...
InfoWorld

How to create your own RAG applications in R

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to use an LLM to extract structured data for text filtering. One of the ...
Finextra

What is RAG in fintech and how financial services are using it with LLMs to power AI innovation

To operate, organisations in the financial services sector require hundreds of thousands of documents of rich, contextualised data. And to organise, analyse and then use that data, they are ...
InfoQ

Domain-Driven RAG: Building Accurate Enterprise Knowledge Systems through Distributed Ownership

Modular Retrieval Augmented Generation (RAG) applications enhance accuracy and relevancy by assigning ownership to dedicated domain experts. Metadata should be leveraged to intelligently route queries ...