VentureBeat

AWS debuts advanced RAG features for structured, unstructured data

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Getting enterprise data into large language models (LLMs) is a critical ...
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 ...
SiliconANGLE

RAG data preparation startup Vectorize launches with $3.6M in seed funding

Data integration startup Vectorize AI Inc. says its software is ready to play a critical role in the world of artificial intelligence after closing on a $3.6 million seed funding round today. The ...
Finextra

How Financial Services Companies Secure Data in a RAG GenAI Environment

Few industries have the competitive pressure to innovate — while under as much public and regulatory scrutiny for data privacy and security — as the financial services sector. So, as companies ...
VentureBeat

Vectorize debuts agentic RAG platform for real time enterprise data

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now While vector databases are now increasingly ...
techtimes

How RAG and Vector Databases Improve LLMs

Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) are two distinct yet complementary AI technologies. Understanding the differences between them is crucial for leveraging their ...
Nasdaq

NetApp (NTAP) & NVIDIA to Advance RAG for AI Applications

NetApp NTAP and NVIDIA NVDA have joined forces to enhance Retrieval-Augmented Generation (RAG) for generative AI applications. The collaboration integrates NetApp's intelligent data infrastructure ...
Forbes

Data Pipelines And Prompt Engineering Matter More For RAG Than LLMs

Artificial intelligence is evolving faster than most organizations can keep up with, and I’ve seen teams make the same mistake repeatedly: focusing on which large language model (LLM) to deploy, while ...
ZDNet

Make room for RAG: How Gen AI's balance of power is shifting

Much of the interest surrounding artificial intelligence (AI) is caught up with the battle of competing AI models on benchmark tests or new so-called multi-modal capabilities. But users of Gen AI's ...
adexchanger

RAG Against The Machine: Injecting First-Party Data Into AI Models For Better Results

First-party data has long been in a marketer’s toolkit as a critical instrument to personalize the customer experience across media touch points. But it has yet to influence how most companies use ...
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 ...