Road to NODES | Agents in the Wild: Building AI That Learns
August 31, 2026 < 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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Road to NODES | GenAI and Graph Foundations: Building GraphRAG with Neo4j
< 1 min read
Build knowledge graphs from unstructured documents and structured data, enrich them with embeddings, and use Neo4j vector indexes to power similarity search. Through hands-on exercises, implement vector-based, vector-plus-Cypher, and text-to-Cypher retriever patterns, then assemble them into a working conversational agent… Read more →
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Road to NODES | GenAI and Graph Foundations: Building GraphRAG with Neo4j
< 1 min read
Build knowledge graphs from unstructured documents and structured data, enrich them with embeddings, and use Neo4j vector indexes to power similarity search. Through hands-on exercises, implement vector-based, vector-plus-Cypher, and text-to-Cypher retriever patterns, then assemble them into a working conversational agent… Read more →
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GraphTalk Silicon Valley
< 1 min read
Join us for an exclusive Neo4j GraphTalk event in San Mateo. Explore how graph technology is reshaping industries and see firsthand the innovative applications that are driving transformation in operations and decision-making across businesses. Additionally, you will gain valuable insights… Read more →
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Neo4j + GraphAware: A new chapter in intelligence analysis | Asia Pacific
August 28, 2026 < 1 min read
Join us on September 22 to learn how GraphAware and the Western Australia Police Force are rethinking intelligence analysis with evolving capabilities that uncover relationships and keep citizens safe.
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Neo4j + GraphAware: A new chapter in intelligence analysis | Europe
< 1 min read
Join us on September 22 to learn how GraphAware and the Western Australia Police Force are rethinking intelligence analysis with evolving capabilities that uncover relationships and keep citizens safe.
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