Project Front Page

Project Front Page

News in our world moves fast, in real-time. Shouldn’t your access to that ever-evolving information move at the same pace? That’s where Groq and Perigon come in.

Perigon’s new web application seamlessly retrieves the latest financial (and other) news articles using its contextual intelligence technology. The application collects 20 million data inputs daily from over 150,000 global sources, clusters the information into common themes and events, and relationally connects it across people, companies, and locations. Perigon integrates these data points with LLMs powered by Groq, providing an ultra-low latency solution with real-time contextual knowledge. 

In this specific demo, the LLMs are enhanced with Retrieval Augmented Generation (RAG). RAG increases the contextual knowledge of LLMs with information stored in a vector database to help overcome their out-of-the-box limitations (static information from the original training data, non-specific domain knowledge, latency, context windows, and hallucination to name a few). This is a fundamentally different approach than browsing or keyword searching across the web because it is not beholden to traditional search dynamics to provide knowledge. This improves subject matter, temporal and source relevancy.

Check it out for yourself

About Perigon

Perigon is revolutionizing how the world interacts with public information, providing contextual intelligence by reimagining information discovery in an AI-first world. Founded in 2022 by Joshua Dziabiak and Josh Rickel, and headquartered in Austin, Texas, Perigon is on a mission to connect and make the world’s information useful and actionable. Perigon is trusted globally across startups, major corporations, and government entities to transform data into real-time, deployable insights.