Forbes

Retrieval-Augmented Generation Is An Engineering Problem, Not A Model Problem

Every few months, the enterprise AI conversation resets around the same flawed premise that better models solve the problem. When large language models hallucinate, the instinct is to reach for a ...
Forbes

How Retrieval-Augmented Generation Could Solve AI’s Hallucination Problem

Large language models (LLMs) like OpenAI’s GPT-4 and Google’s PaLM have captured the imagination of industries ranging from healthcare to law. Their ability to generate human-like text has opened the ...

Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...
The Next Platform

Scaling Retrieval Augmented Generation With RAGOps And Agents

COMMISSIONED: Retrieval-augmented generation (RAG) has become the gold standard for helping businesses refine their large language model (LLM) results with corporate data. Whereas LLMs are typically ...
Wired

Reduce AI Hallucinations With This Neat Software Trick

If you’ve ever used a generative artificial intelligence tool, it has lied to you. Probably multiple times. These recurring fabrications are often called AI hallucinations, and developers are ...
VentureBeat

Mistral launches API for building AI agents that run Python, generate images, perform RAG and more

The well-funded and innovative French AI startup Mistral AI is introducing a new service for enterprise customers and independent software developers alike. Mistral's Agents application programming ...