A new benchmark called CypherTurn, comprising 721 sessions and 5,927 turns across 7 knowledge graphs and 13 conversational phenomena, shows the best of 15 evaluated models reaches only 64.7% execution…
Neo4j announced that Virtual Graph, its zero-copy knowledge graph capability over Snowflake, Databricks, and Google BigQuery data, is in public preview for every Aura customer and will reach General A…
Neo4j detailed a multi-agent integration that grounds Salesforce Agentforce responses in a Neo4j knowledge graph using Aura Agent over the Model Context Protocol (MCP), moving graph-specific computati…
Neo4j, a graph database company, reports that graph technology can cut AI hallucination rates by 44% and is essential for enterprise AI agents to reason over connected data. The technology stores data…
FalkorDB's GraphRAG SDK is positioned as a key tool for network analysis applications in 2026, with ten production use cases including knowledge graph construction for RAG, fraud ring detection, and s…
ElevenLabs' public event information places Bengaluru within its broader Summit network, but it does not list a standalone ElevenLabs Summit in the city on October 6, 2026. The relevant October event …
A developer built Cypher, an open-source Rust CLI that scans Reddit subreddits and uses AI to score buying intent, ranking leads for freelancers. The tool supports local Ollama models and cloud fallba…
Smolbren, a new CLI tool, turns Markdown vaults into local, queryable knowledge graphs with full-text search, using frontmatter to discover ontology and supporting Cypher queries and BM25 search. Desi…
Neo4j announced Virtual Graph, a zero-copy graph reasoning solution that allows users to run Cypher queries, graph algorithms, and AI agents directly on Snowflake data without ETL or data movement. Th…
Neo4j launched Virtual Graph for Databricks, enabling graph-based querying of lakehouse data without moving it. The tool translates Cypher queries to SQL, making relationships explicit for humans and …
Researchers introduced Reflection-Augmented Scaling (RAS), a method that uses execution error messages from databases to improve Cypher query generation through in-context learning. Testing across thr…