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 ...

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 fundamental building block of the Neo4j database is the knowledge graph. Eifrem explained that with a traditional relational database, an organization keeps all of its data in rows and tables.

Investors need a new framework for evaluating opportunities in the emerging Intelligence Economy ("Intellinomics"). Semantic ...

Neo4j said the collaboration will enable Azure users to structure unstructured data and load it into a knowledge graph. From there, they can use Neo4j tools such as Bloom data visualization or the ...

Serverless offering with 65+ ready-to-use algorithms boosts model accuracy by up to 80% and delivers 2X deeper insights - no graph expertise needed ...

Neo4j, one of the world's leading graph database and analytics companies, has unveiled a multi-year Strategic Collaboration Agreement (SCA) with AWS aimed toward enabling enterprises to improve ...

“Grounding LLMs with a Neo4j knowledge graph improves accuracy, context, and explainability by bringing factual responses (explicit) and contextually relevant (implicit) responses to the LLM.” There’s ...

To start building your knowledge graph, set up a Neo4j database. It will be the backbone of your project. You’ll use the Cypher query language to add, change, and find complex network data.

Neo4j enables organizations to unlock the business value of connections, influences and relationships in data: through new applications that adapt to changing business needs, and by enabling existing ...