Day 70 of #100daysofnetworks
Milestone Day: Progress and What's Ahead
Hello everyone! Today is Day 70, and I thought that this would be a good day to pause and reflect on what we’ve accomplished, and to talk about what’s next. We have gone a long way since Day 50, and I want to capture that.
What We’ve Accomplished
I often say that graphs provide opportunities that can lead to freedom if people use them as such. I do use them as such, and today’s article should show that they have led me to opportunities and freedom.
At a high level, since Day 50, I’ve accomplished three things with this blog:
I have used this blog series to build familiarity and skill in working with Knowledge Graphs, Graph Databases, and GraphRAG Implementations.
I have launched my own business (Verdant Intelligence), its first brand (GrooveSeeker), and its platform (LLK: Living Library of Knowledge), and I have used this blog to “build in public”, for inspiration, and to explain what I’ve built.
I have used data from my new business and then wrote articles for this blog to show neat things that can be done with the data and platform. The blog supports the business, and the business supports the blog.
I’m really happy with those. The first one is an important step for building reliable AI interfaces, and the learning will continue for the rest of my life.
In greater detail, here’s what we’ve accomplished with this blog since Day 50:
Day 50: Cognee, Knowledge Graphs (KGs), and GraphRAG. It was neat to see GraphRAG in action and what reliable AI looks like.
Day 51: Dove into learning Cypher, the query language for working with Graph Databases.
Day 53: Announced the launch of my company, Verdant Intelligence. Graphs bring freedom and opportunity!
Day 55: GrooveSeeker was brought to life.
Day 57: Began building my own KGs and GraphRAG implementations for Verdant Intelligence’s Living Library of Knowledge.
Day 62: Described and demonstrated an implementation for GraphRAG from Scratch.
Day 63: Added a style transformation step to the GraphRAG interface.
Day 66: Built an dataset of Event Collaborations (music, art, cultural, etc) from the past, present, and FUTURE. I love this so much.
Wild adventures with Verdant Intelligence, GrooveSeeker, and this blog ever since.
It’s overwhelming how much we’ve gotten through, thus I decided to write this milestone article. We’ve done a lot, and I want to pause and feel good about that.
What Is Next
We are nowhere near done. This blog will go beyond 100 days, and I have no intention of ever stopping it. Here is some of what I have planned for upcoming work and articles.
More GraphRAG: I am now beginning work on Distributed GraphRAG. The signal in my company data is very strong, and I need Distributed GraphRAG to deal with it, I think. I have already figured out HOW to do this and have gotten it to work, but I am going to design something with intention and build it. Then I will demonstrate how on this blog. Anyway, this is a whole rabbit hole by itself, and I’m excited to dive completely into GraphRAG for a while, when I’m ready.
More about the Living Library of Knowledge: Like I did with the GrooveSeeker Collaboration Network, I’m going to show cool things that can be built using LLK data, to inspire creativity. I am excited to see what kinds of apps, platforms, tools, and companies people will make, using the LLK. This platform leads to platform. This intelligence spawns intelligences. Verdant Intelligence spawned GrooveSeeker. What else will it spawn? What could you build with it?
More answers to subscriber questions: Someone recently asked me what backend skills are useful for AI Engineers. That’d be a fun topic to write about, so I am going to do that! I have been coding since 1984, and have worked in technology since 1999. My entire career has been in technology, and I have a lot of good information about more than just graphs. If you would like me to write about something you are curious about, send me a message!
Full Spectrum Graph Analysis and Use: On this blog, we don’t just analyze graph data, we use it. In the last two articles, I showed the entire spectrum from Network Science to Graph Database exploration. In the past, we have done stuff with GraphRAG, and with simulation. This blog will always be what it is: an innovation forge for all things graph. This is science and engineering, both.
Ways to Support This Blog
I have been writing this series alone for a long time, by now. I can’t imagine stopping. I love this subject, and I love what these techniques empower me to be able to do. I also love the interactions that I have with people, through this blog. It has led to friendships, businesses, collaborations, books, many things.
If you would like to support this work and research, here are some ways:
Subscribe to this Blog: Free subscribers keep me motivated. It is easy to keep writing when things continue to grow. If things move in the opposite direction, it is discouraging. Please subscribe and keep this growing, so that I will stay motivated to keep writing, which will help myself and others keep learning.
Upgrade your Subscription: If you are subscribing, please consider upgrading to a paid subscription. Paid subscribers are enabling this blog’s AI research (Graph Databases, Knowledge Graphs, GraphRAG), and a few subscribers are accessing the Artificial Life Research Knowledge Graph that was built through this blog. Special thank you to all paying subscribers. I am working on ways to bring more value to you, with this blog.
Read my book to understand how I think: You can buy my book here! In my book, I explained the importance of the marriage of Language and Graphs in my book before LLMs were invented, before GraphRAG was a thing. This has been obvious to me for a long time, and I have explained the importance through this blog as well.
Use my Platforms and Data: Build new applications, platforms, and companies! We are looking for users and partners, and we are pricing things for individuals, citizen scientists, and small businesses. We want to support those who are left behind, and we are doing it. We want to empower EVERYONE in the AI Age.
Spread the Word: Tell your friends about this blog and my websites (GrooveSeeker, Verdant Intelligence, share my LinkedIn posts). It takes very little effort to share my research and work and it will have a big impact.
Use my Websites: Use GrooveSeeker to find things to enjoy. Visit Verdant Intelligence to learn more about what I have built and how it can be used.
Let’s do Business Together! Use Verdant Intelligence! We are stronger together! I have worked in data my entire career and I’m sure I can help you. I am available for consulting and project work, and my platform is available for access.
That’s All For Today
Thank you for reading today’s post. I’m really excited to dive into more GraphRAG work. I think I will probably do that next, as I want to play with Distributed GraphRAG. I want to make this faster, smarter, and more powerful. This is going to be fun and so educational. Please subscribe if you have not!
Please tell your friends about this blog! It is helpful all around. Help me get to 1000!
See you next time!
