Monthly Archives: September 2023

In previous discussions, we extensively explored the multifaceted world of Retrieval-Augmented Generation (RAG) – a paradigm that synergistically combines the prowess of information retrieval with natural language generation to produce more informed and contextually rich responses. The series delved deep … Continue reading →

It has been claimed, that to create the ultimate Retrieval Augmented Generation (RAG) Stack, all one needs is a plain vector database, a touch of LangChain, and a smattering of OpenAI. Here are the 10 essential considerations when delving into … Continue reading →

Last Sunday, I delved into the often misconceived notion of a seemingly easy recipe for a Retrieval Augmented Generation (RAG) solution. Many seem to believe it’s as straightforward as combining a vector database, a sprinkle of LangChain, and a dash … Continue reading →

In the grand tradition of the tech industry, I currently see a number of folks jumping onto the latest bandwagon without a seatbelt. And a number of riders are about to fall into the trap of believing that the latest … Continue reading →

In today’s saturated marketplace, there is a cacophony of voices and solutions. Navigating this noise demands differentiation that delivers value. SquirroGPT offers exactly that. Here’s what sets the solution apart: Three Pillars of Excellence: At the core of the offering … Continue reading →