Data Language

Product innovation through world class technical architecture, data engineering, machine learning, AI, knowledge graphs & linked data.
@datagraphs @tagmatic

[Data Graphs @datagraphs]

Why deep graph traversal breaks most engines. How Data Graphs runs deep queries orders of magnitude faster than Neo4j, in a fraction of the memory, and with higher throughput

https://t.co/NSzvFl7q0E

[Data Graphs @datagraphs]

See how our AI-powered multi-modal knowledge graph can unlock the full value of sports media by unifying video, sports data, and Agentic AI within a single semantic framework.
Using the IPTC Sports Schema and real Premier League and Champions League footage, it shows how structured sports data, AI video analysis, true hybrid GraphRAG, and contextual rendered views transform raw match footage into an intelligent, explorable knowledge hub.
The result is faster analysis, richer storytelling, deeper fan engagement, and more powerful performance and editorial workflows across any sport.

https://t.co/CnQ5MqDroQ

[Steve Liles @steveliles]

Meanwhile in 2025 ... 15x faster in 3 months 🚀 (been working on new functionality since then, hence the last entry was in March, but i'm excited to pick off some of the other low-hanging fruit for another 5-10x vs current perf before the end of the year🕺)

[Data Graphs @datagraphs]

💥 𝗨𝗻𝗹𝗼𝗰𝗸𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝘄𝗶𝘁𝗵 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗚𝗿𝗮𝗽𝗵𝘀 If you want to scale your organization’s knowledge with Agentic AI, the killer feature is a cohesive, well-defined knowledge graph schema.
https://t.co/2CbRTIYp8t

[Data Graphs @datagraphs]

Join Data Graphs for a discussion of the @IPTC Sports Schema—developed with key contributions from our team—tomorrow, Thursday, May 15, at the IPTC Spring Meeting 2025 in Juan-les-Pins, in the south of France! @pwilton , Donna Esfandiary, and Silver Oliver will showcase Data Graphs for sports utilizing IPTC standards: a football content graph enriched with action metadata and powered by our GraphRAG AI. See you there!

[Data Graphs @datagraphs]

Checkout this awesome blog post by @charliefurniss3 on building a Knowledge Graph of Wine from the X-Wines dataset, and using GraphRAG AI to analyse it.
https://t.co/QNjVJLyG8k
We ingested 100k wines from 30k global producers into Data Graphs, applying the principles of domain-driven design.
With the AI running over the graph we have created an expert-system for Wine enthusiasts. Astonishing results from Charlie. Many thanks to Rogério Xavier de Azambuja for granting use of his incredible data!

[Data Graphs @datagraphs]

We've just launched a new GraphRAG AI feature in Data Graphs, letting you ask natural language questions of your knowledge graph. It's like ChatGPT for your business data, turning your graph into the ultimate knowledge hub.

https://t.co/iBHRVRsDcz

The full blog post describes how Data Graphs AI works, the architecture, the pros and cons of different types of GraphRAG, and what we have implemented. Our AI UX is designed for ease of use and exploits the best features of AI products. It cites AI answers in the knowledge graph data, providing confidence in the responses and the ability to navigate further into your information backbone while keeping your data and IP secure

[Data Graphs @datagraphs]

We're excited to announce the launch of our new website! Explore how Data Graphs is leveraging knowledge graphs and AI to transform data management and insights. https://t.co/dObWCN6HgZ

[Data Graphs @datagraphs]

A look at the Graph RAG AI in Data Graphs.
Our friends at @w42st use Data Graphs to power their hyperlocal media brand that celebrates Hell’s Kitchen in New York through high-quality data journalism.
This demo shows how we can move from structured, high quality intelligence, to being able to ask questions directly from their knowledge graph using AI.

[Data Language @datalanguage]

Super excited to announce Donna Esfandiary has joined Data Language as our new Chief Revenue Officer. Donna brings extensive experience scaling SaaS companies, driving global sales and marketing, and building strategic partnerships. Let's go !
https://t.co/MtW4axO4Ii

[Data Language @datalanguage]

Exciting news!
We recently benchmarked our new @datagraphs query engine. Further analysis shows astounding results!
Data Graphs has a O(n) query time performance relative to the scale and complexity of the graph.
It's linear! and breathtakingly fast.
#graphdatabase #knowledgegraph #GraphRAG
https://t.co/Q7OacbuiGC

[Data Language @datalanguage]

The new #knowledgegraph query builder in @datagraphs is so easy you can build a Cypher/GQL query with no knowledge of the language. It is so insanely fast results appear in realtime as you go. You can try it yourself with a free trial here:
https://t.co/Jqf2Edotx1

#graphdatabase #gql #cypher

[Data Language @datalanguage]

A new @datagraphs feature is live and its a game changer!

We recently completely rewrote our Data Graphs Cypher Query engine from the ground up. We threw away the book on graph-querying. A new algorithm for ultra-efficient processing of GQL and Cypher graph queries, and its really fast.

Benchmarked at 110x faster than Neo4j on average and 518x faster on the deepest / most complex benchmark query (1 sec vs 9 mins). More info and full benchmark data in the blog.
Get in touch if you want a demo!
#graphdatabase #knowledgegraph
https://t.co/viq9gjmWon

[Data Language @datalanguage]

Some mockups of what we are building at our 2024 Data Graphs AI Hack - #GraphRAG and #ConversationalAI directly in the #knowledgegraph, grounded in the truth of data in the graph
hopefully demos to follow soon !

[Data Language @datalanguage]

Hack lunch with some of the team in the Islington office

[Data Language @datalanguage]

The Data Language Graph RAG Hack 2024 has kicked off today at our London office!
Over the next few days the whole DL team are exploring building Retrieval Augmented Generative AI directly into our @datagraphs #knowledgegraph
It's going to be mega !