The Diversity of Data Sources for RAG in the Enterprise
A good search and answer system must draw on the right sources of data if there’s any hope of providing meaningful results. One luxury of modern business systems is that many provide an API for accessing all of this data.
Challenges of RAG Overview
The allure of “talking to my data with AI” has many engineering teams working on prototypes. Surely it can’t be that hard to build retrieval augmented generation (RAG)? You gather some documents from Google Drive, make them searchable, add a prompt template, call a model, and… it works!
How Atolio uses Atolio
One of the benefits of building a workplace search product is being able to dogfood it yourself – regardless of whether you’re an engineer or client facing member of the team.
The New Wave of Search Tech for the Enterprise
Enterprise search is fast becoming one of the most interesting and engaging technical domains, with a bright decade ahead. Yes, enterprise search.
A System for Selling PagerDuty from $1M to IPO
Before starting Atolio with David and Gareth, I spent 8 years at PagerDuty (early 2012 to late 2019) in a variety of different client facing roles. During that time, I walked the journey of being the 1st sales rep when the company was doing less than $1M in ARR (Annual Recurring Revenue) to a successful IPO on the NYSE.
Enterprise Search is Better Than You Imagine
An ideal enterprise search system (also known as "cognitive search" or "insight engines") quickly retrieves documents, conversations, and other content, relevant to the searcher, across all important internal knowledge systems. Historically, "What is the PageRank equivalent at work?" has not been well-answered.
