Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

The second step in generating a knowledge graph involves building a text prompt for LLM to generate a schema and database for the ontology. The text prompt is a natural language description of the ...

This example generates several graphs of sales data that can be accessed from a single Web page. The graphs are two bar charts of summary sales data and three pie charts that break the data down by ...

One example combines RAG with a graph database. The combination can make the results more accurate and relevant, particularly when relationships and semantic content are important.

New graph database benchmark shows linear throughput and cost at 100x scale MOUNTAIN VIEW, Calif., April 15, 2025 (GLOBE NEWSWIRE) -- Aerospike, Inc. today announced it has been named Graph DBS ...

Aerospike, Inc. is debuting their new graph database, built to be developer-ready, real-time, and highly scalable. The launch of Aerospike Graph responds to the lack of graph database solutions that ...

Knowledge Graphs, by contrast, represent data as a network of nodes (entities) and edges (relationships). They can handle more complex, nuanced queries based on the types of connections, the ...