August 25, 2026· ~5 min readGraph Construction from Text with LLMs: The Bottleneck Hiding in Your GraphRAG Stack GraphRAG post-mortems almost always blame retrieval. They are looking in the wrong place. The accuracy ceiling in a graph-augmented system is set *up
July 30, 2026· ~5 min readAgentMemory for .NET: Using Neo4j Knowledge Graphs as AI Agent Memory > **Teaser:** Neo4j's AgentMemory SDK for .NET brings graph-backed memory to AI agents — episodic, semantic, and procedural memory types stored as no
June 16, 2026· ~3 min readCreating Interactive Knowledge Graphs for AI Applications Knowledge graphs have emerged as a powerful tool for enhancing AI applications, particularly in retrieval-augmented generation (RAG) systems. Unlike
August 4, 2026· ~6 min readAgentic GraphRAG: When the RAG Pipeline Learns to Navigate # Agentic GraphRAG: When the RAG Pipeline Learns to Navigate Classic GraphRAG treats retrieval as a **pipeline**: chunk the corpus, build a graph, i
August 3, 2026· ~7 min readGraphQL vs SPARQL for Knowledge Graphs: When Each Query Layer Wins # GraphQL vs SPARQL for Knowledge Graphs SPARQL and GraphQL both answer the question "what's connected to what" — but they were built for different
July 30, 2026· ~7 min readMCP for Aura: Hosted Model Context Protocol for Every Neo4j Graph Database > **Teaser:** Every Neo4j Aura instance now ships with a built-in MCP server — Cypher querying, schema discovery, graph traversal, and vector search