Found 980 bookmarks
Custom sorting
Build your hybrid-Graph for RAG & GraphRAG applications using the power of NLP | LinkedIn
Build your hybrid-Graph for RAG & GraphRAG applications using the power of NLP | LinkedIn
Build a graph for RAG application for a price of a chocolate bar! What is GraphRAG for you? What is GraphRAG? What does GraphRAG mean from your perspective? What if you could have a standard RAG and a GraphRAG as a combi-package, with just a query switch? The fact is, there is no concrete, universal
·linkedin.com·
Build your hybrid-Graph for RAG & GraphRAG applications using the power of NLP | LinkedIn
Announcing QLeverize: The Future of Open-Source Knowledge Graphs at Unlimited Scale | LinkedIn
Announcing QLeverize: The Future of Open-Source Knowledge Graphs at Unlimited Scale | LinkedIn
Biel/Bienne, Switzerland – February 24, 2025 – Knowledge graphs are becoming critical infrastructure for enterprises handling large-scale, interconnected data. Yet, many existing solutions struggle with scalability, performance, and cost—forcing organizations into proprietary ecosystems with high op
·linkedin.com·
Announcing QLeverize: The Future of Open-Source Knowledge Graphs at Unlimited Scale | LinkedIn
A comparison between ChatGPT and DeepSeek capabilities writing a valid Cypher query
A comparison between ChatGPT and DeepSeek capabilities writing a valid Cypher query
Today, I conducted a comparison between ChatGPT and DeepSeek chat capabilities by providing them with a schema and a natural language question. I tasked them…
a comparison between ChatGPT and DeepSeek chat capabilities by providing them with a schema and a natural language question. I tasked them with writing a valid Cypher query to answer the question.
·linkedin.com·
A comparison between ChatGPT and DeepSeek capabilities writing a valid Cypher query
G.V() 3.14.38 Release Notes: Now with Support for Neo4j, Memgraph, Neptune Analytics, Query Editor Improvements, and more!
G.V() 3.14.38 Release Notes: Now with Support for Neo4j, Memgraph, Neptune Analytics, Query Editor Improvements, and more!
G.V() 3.14.38 Release Notes: Now with Support for Neo4j, Memgraph, Neptune Analytics, Query Editor Improvements, and more! For the first time ever, G.V() can be used on non Apache TinkerPop graph databases. It is now compatible with Neo4j, Neo4j AuraDB, Memgraph and Amazon Neptune Analytics using the Cypher querying language.
·gdotv.com·
G.V() 3.14.38 Release Notes: Now with Support for Neo4j, Memgraph, Neptune Analytics, Query Editor Improvements, and more!
𝗩𝗶𝘀𝘂𝗮𝗹 𝗤𝘂𝗲𝗿𝘆 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 prototype from Neo4j Labs
𝗩𝗶𝘀𝘂𝗮𝗹 𝗤𝘂𝗲𝗿𝘆 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 prototype from Neo4j Labs
Stop struggling with Cypher syntax Turn graph queries into drag-and-drop Moving from SQL to Cypher presents a common challenge. You understand how data… | 54 comments on LinkedIn
𝗩𝗶𝘀𝘂𝗮𝗹 𝗤𝘂𝗲𝗿𝘆 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 prototype from Neo4j Labs
·linkedin.com·
𝗩𝗶𝘀𝘂𝗮𝗹 𝗤𝘂𝗲𝗿𝘆 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 prototype from Neo4j Labs
After 50 Years, What's Next for SQL?
After 50 Years, What's Next for SQL?
Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It's had impressive staying power since it was first coined the Structured Query English Language in the mid-1970s. It's survived and thrived through the dot-com era and the proliferation of cloud technology. In essence, SQL is a technology that evolves.
·dbta.com·
After 50 Years, What's Next for SQL?