Neo4j

Stopping Context Overload: Controlled Neo4j MCP Cypher Responses for LLMs

models connected to your Neo4j graph gain incredible flexibility: they'll generate any Cypher queries through the Neo4j MCP Cypher server. This makes it possible to dynamically generate complex queries, explore database structure, and...

GraphRAG in Motion: A Easy Agent for Know-Your-Customer Investigations

the world of monetary services, Know-Your-Customer (KYC) and Anti-Money Laundering (AML) are critical defense lines against illicit activities. KYC is of course modelled as a graph problem, where customers, accounts, transactions, IP addresses,...

Agentic GraphRAG for Business Contracts

, legal contracts are foundational documents that outline the relationships, obligations, and responsibilities between parties. Whether it’s a partnership agreement, an NDA, or a supplier contract, these documents often contain critical information that drives...

Exploring cancer types with neo4j

How one can discover and visualise clusters in knowledge graphsOn this post we’ll discover and visualise different clusters of cancer types by analysing disease ontology as a knowledge graph. Specifically we’ll arrange neo4j in...

Knowledge Graph-Based Chatbot With GPT-3 and Neo4j

Learn the best way to develop a chatbot that gives answers based on data stored in a knowledge graph.ChatGPT has modified how I, and doubtless most of you, take a look at AI and...

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