John Macintyre retweeted
One of the perks of our remote-first approach is getting to #workfromhome with these adorable friends! In honour of #NationalDogDay we’re sharing the dogs of RAI helping us code while we work remotely. Want to work with your dog? Check out our openings⬇️ relational.ai/careers
John Macintyre retweeted

Andy Pavlo (@andypavlo.bsky.social)@andy_pavlo6 Apr 2022
United States
United StatesConnected via WebAccount-level information, not a live location or per-post device.
Vaccination DB Talk Booster #9: @mbravenboer presents @RelationalAI: youtu.be/WRHy7M30mM4
RAI is a knowledge graph DB built on top of a relational engine (which IMO is the right approach). But there's so many other interesting ideas in this talk. I highly recommend it.
John Macintyre retweeted
We are thrilled to partner with Strings not Things @str_not_things for KGC 2022! We will play their compositions during the conference and launching a campaign to support Girls who Code. classy.org/fundraiser/376075…
John Macintyre retweeted
ICYMI: Here’s the recording of @mbravenboer’s talk ‘Design and Implementation of the RelationalAI Knowledge Graph Management System’ with @CMUDB. Hear all about the principles and core ideas behind our system! #datascience #ai #ml m.youtube.com/watch?v=WRHy7M…
John Macintyre retweeted
Join our VP of Engineering @mbravenboer at @CMUDB March 28. Explore the core innovations that underpin the @RelationalAI system: an expressive relational language, worst-case optimal join algorithms, semantic optimization, & more! db.cs.cmu.edu/events/vaccina…
John Macintyre retweeted
Happy to share my latest blog post on Menlo Ventures investment in Julia Computing! Click below for references to #julialang , Keanu Reeves, #machinelearning , pharmacometric models, x86 assembly and more, all in one blog post.
medium.com/@timtullydevnull/…
John Macintyre retweeted
We believe that to properly manage and enforce policy over data assets at scale, asserted #metadata should be woven with discovered metadata into a #knowledgegraph that affords powerful #reasoning. Learn more on our blog: relational.ai/blog/weaving-a…
John Macintyre retweeted
We’re #hiring for a Technical Program Manager! Work at the intersection of database tech, #programming languages, & #machinelearning with engineers, data scientists, & leading researchers to push the boundaries of relational technology & graph processing. boards.greenhouse.io/relatio…
John Macintyre retweeted
Our relational KGMS combines #Graph, #Reasoning, and #Learning in a single platform. Add #cloud scalability, workload concurrency, and zero-copy cloning to get unique analytic flexibility. Learn more: relational.ai/blog/rai-platf…
John Macintyre retweeted
We’re #hiring! As a database system engineer, you’ll work on the database kernel backing our Relational Knowledge Graph Management System. Our RKGMS is written in #Julialang, an exciting language for building dynamic, high-performance systems. #recruiting boards.greenhouse.io/relatio…
John Macintyre retweeted
Programming over data is what it's all gonna be about! Why shouldn't your program itself be data you program over too!?
docs.relational.ai/news/rel-…
I'm looking forward to the package manager written in Rel for managing Rel packages. 👍
John Macintyre retweeted
We’re #hiring! As a Product Manager, you’ll help shape the direction of our cloud native relational knowledge graph service. You’ll work at the intersection of #databases, #programming languages, & #machinelearning to help customers with #data. #recruiting boards.greenhouse.io/relatio…
John Macintyre retweeted
To build a world-class team, we’ve gone around the world. We’re passionate about attracting and retaining individuals with exceptional talent and potential, wherever they are. We’d love to hear how you can make a difference. #hiring #careers #jobsintech relational.ai/careers
John Macintyre retweeted
Did you know our team has written 37 award-winning #research papers, and has had more than 35,000 citations over the last five years? We partner with the best to conduct ground-breaking research in #AI. Learn more about our work and our network: relational.ai/research
John Macintyre retweeted
We’re excited to introduce the RelationalAI SDK for #Python with APIs for our Relational Knowledge Graph Management System. The rai-sdk package is #opensource with its code in a public @github repo. We welcome contributions and pull requests! docs.relational.ai/news/rela…
John Macintyre retweeted
We’re #hiring for #techjobs! Our UX team creates the UI applications that unlock the power of our RKGMS. As our React/UI Software Engineer, you’ll design, style, develop, test, maintain, & improve front-end software for a variety of applications. More: relational.ai/job-reactive-d…
John Macintyre retweeted
Knowledge graphs allow you to organize information and define relationships between pieces of #data. This tutorial will introduce you to knowledge graphs and teach you some simple Rel code to build your own. #datamodeling #knowledgegraphs #ai docs.relational.ai/getting-s…
John Macintyre retweeted
We’re hiring! We’re looking for our next @JuliaLanguage Ecosystem Engineer. If you're excited to work on Julia and with our system, curious, and enjoy learning, we want to hear from you! We’re looking for engineers across all experience levels. relational.ai/job-julia-ecos…
John Macintyre retweeted
Our Console now has a Query Browser allowing you to easily explore the contents of your #database. The Query Browser lets you list and interact with all the relations, both EDB and IDB, defined in your database. Take a look! #ml #data #bigdata docs.relational.ai/news/quer…
John Macintyre retweeted
Did you know you can add your own documentation in Rel by adding docstrings to your relations? The system will render the docstring you have created, allowing you or others to see detailed info documented for your Rel code. Try it out! #coding #ml #bigdata docs.relational.ai/news/usin…





