In the world of technology, search capabilities often go unnoticed. However, they play a crucial role in shaping applications and contributing to the development of generative AI.

Companies using AI have seen a 25% increase in productivity on average. Artificial Intelligence is changing how businesses work, from small startups to big companies.

You can't build a house without a foundation. AI systems — generative AI, machine learning models, or deep learning models — are like all other software projects. They need a strong foundation or they'll collapse under the weight of their complexity.

Data determines a company's success. However many businesses struggle to use data effectively. Enter large language models (LLMs) and Retrieval Augmented Generation (RAG). These two technologies are changing how companies extract valuable insights from their data.

Integrating Generative AI into enterprises offers a transformative opportunity to revolutionize how information is processed and utilized. However, this transition is accompanied by significant challenges that must be addressed.

Consider a world where computers can write stories, create art, and converse like humans. This is the reality of generative AI, which is no longer just science fiction — it's happening now.

Finding data can feel like an episode of the X-Files. The truth is out there, but no matter how much you search it's always just out of reach.

We've got some awesome news to share. Can you believe it's been a year since we launched? And what a year it's been! We've been laser-focused on one thing: helping businesses use AI without all the headaches.

Retrieval-augmented generation (RAG) is set to revolutionize how businesses use their data. But implementing RAG in big companies isn't as simple as it sounds. Let's explore why it's tricky and how SWIRL makes it work.