By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable.

Neo4j Inc. and Microsoft Corp. announced a collaboration today to integrate graph database features into Microsoft’s Fabric and Azure OpenAI services, with an aim to help users uncover patterns ...

Neo4j employs retrieval-augmented generation, or RAG, to query a knowledge graph and return answers to the user in plain English. Now the company is working with Amazon Web Services Inc. on a ...

Graph database vendor Neo4j announced today new capabilities for vector search within its graph database. Neo4j’s namesake database technology enables organizations to create a knowledge graph ...

Building knowledge graphs from your data One key feature of Neo4j is the concept of the knowledge graph, linking unstructured information in nodes into a structured graph.

The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those ...

Neo4j, the graph database and analytics leader, is announcing a partnership with Snowflake that brings Neo4j's fully integrated, native graph data science solution to the Snowflake AI Data Cloud. This ...