The AI Conference 2026
September 2, 2026 < 1 min read
Building AI that’s accurate, explainable, and grounded in your real enterprise data is harder than it looks. At The AI Conference 2026, we’ll showcase how Neo4j gives AI a knowledge layer: the connected context it needs to reason, connect facts,… Read more →
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Turn complex documents into scalable knowledge graphs | Asia Pacific
August 31, 2026 < 1 min read
Learn how to turn semi-structured documents into knowledge graphs. Hear how AI agents can navigate complex information with deterministic graph traversal and GraphRAG workflows.
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Turn complex documents into scalable knowledge graphs | Europe
< 1 min read
Learn how to turn semi-structured documents into knowledge graphs. Hear how AI agents can navigate complex information with deterministic graph traversal and GraphRAG workflows.
Explore:
Turn complex documents into scalable knowledge graphs
< 1 min read
Learn how to turn semi-structured documents into knowledge graphs. Hear how AI agents can navigate complex information with deterministic graph traversal and GraphRAG workflows.
Explore:
Road to NODES | Actionable Knowledge with Context Graphs & Agent Memory
< 1 min read
Work hands-on against a running Neo4j Agent Memory Service (NAMS) instance to build a memory layer holding three kinds of memory in one graph: short-term conversation history, long-term entities modeled with POLE+O, and reasoning memory that captures decision traces and… Read more →
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Road to NODES | Agents in the Wild: Building AI That Learns
< 1 min read
Build a full graph-based agent memory stack in Neo4j — hierarchical context graphs, retrieval and answer playbooks, and dynamic playbook composition — and compare how predefined workflows versus fully autonomous agents interact with that memory differently. Go deep on the… Read more →
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Road to NODES | Graph Reasoning with Neo4j Virtual Graph
< 1 min read
Run Cypher queries directly against your cloud data warehouse — Snowflake, Databricks, or Google BigQuery — using Neo4j Virtual Graph, mapping relational data into a graph model in place without moving or duplicating it. Explore multi-hop relationships that are difficult… Read more →
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Road to NODES | Build Your First Knowledge Layer
< 1 min read
Build a lightweight knowledge layer over your existing documents and SQL data using three shapes in Neo4j: a Table of Contents (Trees) for document navigation, Themes (Communities) that surface unnamed patterns, and Connections (a Semantic Layer) linking structured entities and… Read more →
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Road to NODES | Stop AI Agent Hallucinations: 5 Techniques + Production Patterns
< 1 min read
Implement five research-backed techniques — GraphRAG retrieval, semantic tool selection, Executor-Validator-Critic multi-agent swarms, neurosymbolic guardrails, and agent steering — to fix hallucinations as structural problems rather than prompting issues. Work hands-on with live code and before-and-after metrics, leaving with working… Read more →
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