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 ...

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.

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.

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 ...

“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 ...

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

SAN MATEO, Calif., April 9, 2024 /PRNewswire/ -- Neo4j®, the world's leading graph database and analytics company, announced new native integrations with Google Cloud that dramatically speed up ...

Neo4j knowledge graphs, graph algorithms, and ML tools are fully integrated within Snowflake - with zero ETL & requiring no specialist graph expertise SAN FRANCISCO, June 4, 2024 /CNW/ -- Graph ...

Neo4j®, a Graph Database and Analytics leader, announced a collaboration with Microsoft to deliver a unified data offering that addresses customers' critical data needs for Generative AI (GenAI).