Scientists at the University of Oxford have unveiled a pioneering method for capturing the full structure of ultra-intense ...

GraphRAG is a retrieval method that uses knowledge graphs to store and manage structured data, serving as an alternative to VectorRAG (Vector Retrieval Augmented Generation).

More information: Digital laboratory with modular measurement system and standardized data format, Digital Discovery (2025). DOI: 10.1039/D4DD00326H Provided by University of Tokyo ...

Available starting today, Neo4j Aura Graph Analytics is said to work with any kind of data source, including Oracle, Microsoft SQL, Databricks, Google BigQuery, Snowflake and Microsoft OneLake.

Explore the role of content knowledge graphs in enhancing your marketing strategy and improving information retrieval with structured data. Skip to content Subscribe ...

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...

A knowledge graph, is a graph that depicts the relationship between real-world entities, such as objects, events, situations, and concepts. This information is typically stored in a graph database ...

Code Interpreter has finally arrived on ChatGPT and now you can achieve all kinds of tasks including generating graphs, charts, diagrams, and much more. You can even upload files to ChatGPT and ask ...

At the recent Snowflake Summit, RelationalAI unveiled a product – what it calls an AI co-processor for cloud platforms and language models – that is integrated in Snowflake’s Data Cloud and lets ...

Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. At Data Summit 2023, Joseph Hilger, COO, Enterprise Knowledge LLC ...