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Guides, fundamentals, engineering notes, product updates, and case-study style examples for building AI memory and graph-backed applications with RushDB.
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RushDB 2.0: Memory Infrastructure for the Agentic Era
RushDB 2.0 is a major release built for the agentic era: native semantic search, ontology-aware querying, MCP with OAuth, bring-your-own Neo4j, and prebuilt agent skills. It turns memory infrastructure into one unified layer, so developers can store structured context, traverse relationships, and search by meaning without stitching together multiple systems.
Labeled Meta Property Graphs (LMPG): A Property-Centric Approach to Graph Database Architecture
Discover how LMPG transforms graph databases by treating properties as first-class citizens rather than simple node attributes. This comprehensive technical guide explores RushDB's groundbreaking architecture that enables automatic schema evolution, property-first queries, and cross-domain analytics impossible in traditional property graphs or RDF systems.
Knowledge Graphs: Semantic Reasoning Meets Graph Architecture
Labeled Property Graphs: A Comprehensive Guide to Enhanced Graph Data Modeling
Labeled Property Graphs (LPGs) represent an evolution of traditional property graphs, introducing explicit type labels for nodes and relationships. This enhancement not only improves schema clarity but also boosts query performance, making LPGs a preferred choice for complex data modeling scenarios. In this article, we explore the advantages, challenges, and practical applications of LPGs.
RDF: A Comprehensive Guide to Semantic Web Data Modeling
Resource Description Framework (RDF) represents a fundamental paradigm shift in how we model and represent knowledge on the web. As the cornerstone of the Semantic Web, RDF provides a standardized method for describing resources and their relationships in a way that is both machine-readable and semantically rich. Unlike traditional data models that focus on storage and retrieval efficiency, RDF prioritizes meaning, interoperability, and automated reasoning.
Rethinking the Graph: How Labeled Meta-Property Graphs Unlock Structure Without Sacrificing Flexibility
Breaking Down the Hidden Costs of Data Silos in Scientific Labs
Graph Databases Explained: Property Graphs vs RDF vs Knowledge Graphs - Complete Developer Guide 2025
Complete guide to graph database models: property graphs, RDF, labeled graphs, and knowledge graphs. Learn which graph model fits your use case and how to choose the right technology.
Backendless Fullstack Development: React useForm + RushDB
See how a single line of code can replace an entire backend infrastructure while preserving your data's natural structure. Perfect for rapid prototyping, MVPs, and applications with evolving data models.
Self-Hosted RushDB: Quick Setup
Learn how to run RushDB in self-hosted mode using Docker with either Neo4j Aura or a local container.
Introducing RushDB: Zero-Config Instant Database for Modern Apps & AI Era
RushDB is a zero-config, graph-powered instant database with bulk semi-structured data ingestion, automatic normalization, and powerful querying