An engineer fine-tuned a tiny language model overnight. What happened next raises an awkward question about how we're building AI systems.

Memgraph v3.14.0 - October 21st, 2026 ⚠️ Breaking changes A user or tenant profile change inside an explicit transaction is refused. It previously applied immediately and was not undone by ROLLBAC...

Set up Memgraph with your coding agent or by hand in Docker, run a first query and a graph algorithm, and find the guide for what you're building.

Stay up-to-date with the latest features and updates within Memgraph by checking out our release notes. Discover how each release enhances and optimizes your graph computing environment.

Memgraph v3.14.0 - October 21st, 2026 ⚠️ Breaking changes A user or tenant profile change inside an explicit transaction is refused. It previously applied immediately and was not undone by ROLLBAC...

High-performance in-memory graph database for real-time analytics and GraphRAG

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs - vitali87/code-graph-rag

측정 가능한 성과가 가장 자주 나오는 곳은 LLM과 무관한 그래프 ML이다. Wiz는 Amazon Neptune에 수천억 개 관계를 저장해 20여 리전에서 운영하고, 남아공 Capitec은 Memgraph로 하루 350만 건을 스코어링하며, Delivery Hero는 Neptune으로 차단 사기를 32% 늘렸다. 반면 Spotify(+46%), Pinterest(+2.5%) 같은 웹스케일 추천 GNN은 상용 그래프 DB가 아닌 자체 그래프 컴퓨트 위에서 돌고, Revolut과 카카오뱅크는 그래프 없이 사기 탐지 성과를 냈다. 시장은 양극화됐다. Neo4j는 ARR 2억 달러를 넘겼지만 IPO는 없고, TigerGraph는 인원을 70% 줄였으며, Kuzu는 Apple 인수 뒤 저장소가 아카이브됐다. PostgreSQL 19와 Spanner, Oracle은 그래프 질의를 범용 DB 기능으로 흡수하고 있다. 그래프 DB 시리즈 3편(끝).

Code-Graph-RAG is an open-source project that converts any repository, regardless of the programming language, into a navigable knowledge graph. It uses Tree-si

Code-Graph-RAG es un proyecto de código abierto que convierte cualquier repositorio, sin importar el lenguaje de programación, en un grafo de conocimiento naveg

Memgraph is a high-performance, in-memory graph database designed for real-time graph computing. It enables users to perform complex queries and analytics on.

A production-ready architecture combining PostgreSQL, Qdrant, and Memgraph with Pydantic AI agents for GxP-compliant quality management and computer system validation.

An architectural and regulatory comparison of Memgraph and Neo4j as the knowledge graph layer for AI agents operating in GxP-regulated environments — covering performance benchmarks, GraphRAG patterns, 21 CFR Part 11 compliance, and a decision framework for life sciences quality and computer system

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