A sophisticated knowledge graph memory system that stores interconnected information with rich semantic structure using Neo4j.
A sophisticated knowledge graph memory system that stores interconnected information with rich semantic structure using Neo4j. - shuruheel/mcp-neo4j-shan
Announcing the formation of a Data Façades W3C Community Group
I am excited to announce the formation of a Data Façades W3C Community Group.
Façade-X, initially introduced at SEMANTICS 2021 and successfully implemented by the SPARQL Anything project, provides a simple yet powerful, homogeneous view over diverse and heterogeneous data sources (e.g., CSV, JSON, XML, and many others). With the recent v1.0.0 release of SPARQL Anything, the time was right to work on the long-term stability and widespread adoption of this approach by developing an open, vendor-neutral technology.
The Façade-X concept was born to allow SPARQL users to query data in any structured format in plain SPARQL. Therefore, the choice of a W3C community group to lead efforts on specifications is just natural. Specifications will enhance its reliability, foster innovation, and encourage various vendors and projects—including graph database developers — to provide their own compatible implementations.
The primary goals of the Data Façades Community Group is to:
Define the core specification of the Façade-X method.
Define Standard Mappings: Formalize the required mappings and profiles for connecting Façade-X to common data formats.
Define the specification of the query dialect: Provide a reference for the SPARQL dialect, configuration conventions (like SERVICE IRIs), and the functions/magic properties used.
Establish Governance: Create a monitored, robust process for adding support for new data formats.
Foster Collaboration: Build connections with relevant W3C groups (e.g., RDF & SPARQL, Data Shapes) and encourage involvement from developers, businesses, and adopters.
Join us!
With Luigi Asprino Ivo Velitchkov Justin Dowdy Paul Mulholland Andy Seaborne Ryan Shaw ...
CG: https://lnkd.in/eSxuqsvn
Github: https://lnkd.in/dkHGT8N3
SPARQL Anything #RDF #SPARQL #W3C #FX
announce the formation of a Data Façades W3C Community Group
Hydra is a unique functional programming language based on the LambdaGraph data model.
In case you were wondering what I have been up to lately, Hydra is a large part of it. This is the open source graph programming language I alluded to last year at the Knowledge Graph Conference. Hydra is almost ready for its 1.0 release, and I am planning on making it into a community project, possibly through the Apache Incubator.
In this initial demo video, we take an arbitrary tabular dataset and use Hydra + Claude to map it into a property graph. More specifically, we use the LLM once to construct a pair of schemas and a mapping. From there, we apply the mapping deterministically and efficiently to each row of data, without additional calls to the LLM. The recording was a little too long for LinkedIn, so I broke it into two parts. I will post part 2 momentarily (edit: part 2 is here: https://lnkd.in/gZmHicXu). More videos will follow as we get closer to the release.
GitHub: https://lnkd.in/g8v2hvd5
Discord: https://bit.ly/lg-discord
Our SPARQL Notebook extension for Visual Studio Code makes it super easy to document SPARQL queries and run them, either against live endpoints or directly on local RDF files. I just (finally!) published a 15-minute walkthrough on our YouTube channel Giant Global Graph. It gives you a quick overview of how it works and how you can get started.
Link in the comments.
Fun fact: I recorded this two years ago and apparently forgot to hit publish. Since then, we've added new features like improved table renderers with pivoting support, so it's even more useful now. Check it out! | 11 comments on LinkedIn
A Graph-Native Workflow Application using Neo4j/Cypher | Medium
A full working Cypher script that simulates a Tendering System with multiple workflows, AI agent interactions, conversations, approvals, and more — all modeled and executed natively in a Graph.
Want to explore the Anthropic Transformer-Circuit's as a queryable graph?
Want to explore the Anthropic Transformer-Circuit's as a queryable graph?
Wrote a script to import the graph json into Neo4j - code in Gist.
https://lnkd.in/eT4NjQgY
https://lnkd.in/e38TfQpF
Next step - write directly from the circuit-tracer library to the graph db.
https://lnkd.in/eVU_t6mS
Want to explore the Anthropic Transformer-Circuit's as a queryable graph?
loading Microsoft Research GraphRAG data into Neo4j
Many people have asked about loading Microsoft Research #GraphRAG data into Neo4j. I wrote a quick notebook last night to import Documents, Chunks (TextUnit)… | 27 comments on LinkedIn
loading Microsoft Research hashtag#GraphRAG data into Neo4j
This notebook converts CSV data into a Neo4j Graph Database
This notebook converts CSV data into a Neo4j Graph Database. All you do is describe your data. Have you wanted to see what your data looked like as a graph…
