We’re excited to introduce new resources for GenAI applications: Neo4j GraphRAG Ecosystem Tools. These open-source tools make it easy to get started with GenAI applications grounded with knowledge graphs, which help improve response quality and explainability and accelerate app development and adoption.
GraphRAG combines retrieval-augmented generation (RAG) with knowledge graphs to solve critical LLM issues like hallucination and lack of domain-specific context. Knowledge graphs provide the contextual memory LLMs need to reliably answer questions and serve as trusted agents in complex workflows—and unlike most RAG solutions, which only offer access to fragments of textual data, GraphRAG integrates structured and semi-structured information into the retrieval process.
These new tools will help you create a knowledge graph from unstructured text and use that graph—or an existing graph database—to retrieve relevant information for generative tasks via both vector and graph search.
Learn more in Neo4j booth 2340 during WEST 2025.