A short but important note on distributed and scalable graph databases. lnkd.in/eEdrC3j4

Very true. our community is remarkable and many are with startups themselves. lnkd.in/eF_Hbf8g

GraphQL Atop a Graph Database When I first learned about GraphQL I was confused - at least by the name. The name “GraphQL” suggested a query language to access graphs, but everyone was using it to dynamically query relational and other data. It looked mo…lnkd.in/eyMDcgyi

Event: "Is a Graph Database for You?" I will be answering questions about graph with my colleague Raphael Derbier (head of product management) this Friday. For those of you I have not seen or heard from for a…lnkd.in/e8GcDfJK lnkd.in/g_7VpHhu

I hope to see people tomorrow for our event "Is a Graph Database for You." Signup here: . I think I incorrectly said this was Friday earlier on, but it is tomorrow/Thursday. #database #event #graphdatabase Dgraph Labs #nosql #graphql lnkd.in/g_7VpHhu

Very exciting! I started at Dgraph about 5-6 months ago, and the company was in a reboot mode with new leadership and people (including me). Now we have a beta for our second release under the newer team, and perhaps first substantive release with a lot…lnkd.in/g6AXWjJB

My earlier post on GraphQL and graph databases is now a blog! Check it out here: GraphQL is a great tech, with much more flexibility than REST. lnkd.in/eQVg6UDR

NEIM is a great information standard - and now with RDF! But there's confusion about RDF. RDF came out of the semantic web, linked open data, OWL. W3C world, early on. It was, and perhaps still is, a brick in the giant edifice envisioned by Tim Berners-…lnkd.in/ey9zSZ-C

Just sayin'.... lnkd.in/ev4pKPZE

LLMs like ChatGPT is going to be huge for graph generation. There will soon be a flood of high-volume, moderate-quality knowledge graphs. My intuition is that our software systems (and wetware) that are adapted to highly-curated, precise knowledge, prod…lnkd.in/ewjs4QY3

I've posted recently about how LLMs and ChatGPT will create lots of linked and networked graph data, but (short!) piece covers how important graph data is to drive LLMs and make them more accurate. "GPT-4: As an LLM, I would choose a semantic knowledge g…lnkd.in/grx9vs5m

LLMs mine text for statistical relationships. Perhaps we need to augment that with curated, known correct relationships too? Knowledge "graphs" are networks of related concepts and things. #km #graphdb #graphdatabase #llm #chatgpt #ontology lnkd.in/e8zUgfrM

Let the explosion of graph data begin. Heavy use of #ChatGPT to process text + structured data onto graph data. #LLM #generativeai #graphdb #graphdatabase lnkd.in/epiedGgp

It's certainly on my mind a lot lately. But fimny. lnkd.in/egVPyHRR

Great Public Knowledge panel discussion with it's B! Cavello 🐝 (Aspen Institute), Aalok Mehta (OpenAI), and Austin Carson. One key takeaway: Fear not what AI will do on it's own - fear what malicious humans may do with AI. We need some governance. I'll add th…lnkd.in/eXGdh2FM

Great insights on the relation of the "neat" and "scruffy" AI communities, and how they may work together. (LLMs are statistical and scruffy while rule based reasoners are symbolic and "neat.") I'm still quite skeptical about doing query-time inference o…lnkd.in/eVNQundJ

Integration of LLMs to categorize content as it is inserted into the Dgraph #graphdatabase from the incomparable Raphael Derbier. This has all the code and instructions in the blog, so also a tutorial that takes about 20 minutes.…lnkd.in/eE326m3V lnkd.in/eadwncgk

Neat application started when I was at MarkLogic. Yale was interested in cataloging items with a very wide range of dates. Some from last week and also some from 75M BCE. lnkd.in/eXVj_HhJ

RedPanda, as I know it, is basically a simpler/easier #Kafka clone. It's interesting to see them doing so well by just executing well and reducing complexity. A bit like Dgraph Labs in the #graphdatabase and #graphql spaces. Dgraph is better differentia…lnkd.in/eNqwcwR2

Wish me luck! Today Hypermode.com exits stealth! Why would I leave a great gig as @Vercel’s COO to be @HypermodeAI’s CEO? Because developers need AI with: ⬗ Dynamic Inferencing ⬙ Graceful Failure ⬖ Purposeful Integration ⬘ Guardrails