Articles by:

José Ignacio Orlando

Khipu 2025: Our Summary of Its Great Keynotes

Khipu 2025: Our Summary of Its Great Keynotes

In March, we at Arionkoder were privileged to attend and sponsor Khipu 2025, Latin America's premier gathering for the AI community. It was an inspiring week filled with learning and insightful conversations. This article shares our perspective on what made this Khipu...

Improving customer service interactions using RAG

Improving customer service interactions using RAG

Retrieval-Augmented Generation (RAG) is revolutionizing question answering. It goes beyond the limitations of static FAQs by enabling chatbots to interact with users in natural language (any language!), answer questions from diverse data sources, and generate...

How Retrieval Augmented Generation systems work

How Retrieval Augmented Generation systems work

Retrieval Augmented Generation, or RAG, stands out as one of the most revolutionary applications of Large Language Models. It enables the creation of knowledge retrieval systems that provide answers to direct questions input as free text, eliminating the need to sift...

The basics of Retrieval Augmented Generation

The basics of Retrieval Augmented Generation

As humans, we constantly seek information. Before computers, we avidly searched through books and dictionaries, flipping pages in pursuit of knowledge to answer our questions. With the internet, searching became much easier, using engines like Google or Bing, which...

Charting a New Path with AI Trends: Building with AI

Charting a New Path with AI Trends: Building with AI

AI is here. It’s not a possibility but rather a certainty, and it’s evolving quickly. To keep pace with this dynamic landscape, we need to nurture, secure, and extract substantial value from AI. Gartner has identified ten pivotal AI trends for that end categorized...