Neo4j argues that most enterprise AI projects fail due to data that lacks context, flexibility, and standardization, and introduces a knowledge layer to make data AI-ready. Gartner reports 63% of orga…
FlowMind, an AI-powered group project manager built at HackHazards '26, uses persistent memory to learn team patterns and predict failures before they happen. The system combines Groq's LLM, Hindsight…
A developer shares seven key lessons learned from building modern AI agents with Neo4j, GraphRAG, Aura Agents, and LLM Mesh. The lessons cover graph databases, persistent memory, GraphRAG vs. traditio…
Researchers have developed a CVE-TTP Knowledge Graph linking software vulnerabilities to attacker behaviors using the MITRE ATT&CK framework. Transformer-based models like CySecBERT achieved high F1-s…
Neo4j's MCP server can now be run locally with Docker, bypassing the need for GitHub Codespaces and their free-tier limits. A docker-compose setup launches both Neo4j and the MCP server, enabling deve…
A company running a self-hosted AI business platform since early 2026 shares seven painful lessons from building production RAG systems, including the need for document-type-aware chunking and hybrid …
SynapCores released official LlamaIndex integration packages for its AI-native SQL engine, enabling RAG, GraphRAG, and hybrid retrieval in a single self-hosted binary. The packages replace multiple da…
Researchers developed a provenance-aware, knowledge-graph-based multi-agent framework that integrates 466,525 Reddit posts, 60,782 WebMD reviews, and 20 years of FDA adverse event data for nine antide…
Neo4j Chief Scientist proposes that AI agents require three types of structured memory—long-term, short-term, and reasoning memory—organized as context graphs to ensure reliability and accuracy in aut…
Graphify, a new tool, converts codebases and notes into queryable knowledge graphs to provide AI agents with persistent, efficient memory, reducing token costs and improving precision over vector sear…
Neo4j has been named a 'One to Watch' in Snowflake's 2026 Modern Marketing Data Stack Report for its graph database and analytics integration with Snowflake's AI Data Cloud, enabling advanced graph-dr…
A developer released graphlens, an open-source code-analysis framework that parses source projects into a typed graph with resolved references. The tool uses language-specific adapters and resolvers t…
CyberSentinel AI v3.0, an open-source autonomous cybersecurity platform integrating 33 penetration-testing and threat-intel tools with a provider-agnostic AI layer, launched on June 20, 2026. The plat…
Stack Overflow launched Stack Overflow for Agents in beta on June 10, 2026, an API-first knowledge corpus designed for AI coding agents to share validated answers and avoid redundant problem-solving. …
A developer is seeking advice on building a local, offline document retrieval and LLM pipeline for RAG systems, focusing on storage, ingestion, querying, and highlighting. The system aims to support P…
Graph technology can unlock value from India's rapidly expanding digital footprint by connecting siloed data across sectors, according to an ETCIO analysis published Jun 20, 2026. Indian banks, retail…
Neo4j announced dedicated field engineers for startups and released a new edition of its weekly newsletter covering knowledge graph maintenance, a GraphRAG semantic layer built from BigQuery and GCP K…
Neo4j's graph database product specialist explains the differences between taxonomy, ontology, and knowledge graph, describing how taxonomies organize hierarchical categories, ontologies define semant…
BlitzGraph, a new graph database built for LLM agents, launches in beta on Hacker News. The database supports polymorphic records and relations, time-evolving entities, and a JSON query language desig…
Neo4j announced support for post-quantum hybrid key exchange in its 2025.01 release to defend against future quantum computer attacks and current Harvest Now, Decrypt Later threats. The feature uses X…