Graph technology can quickly identify an HCP’s channel choice, content preferences, influence in a disease area, prescribed products and clinical trial participation, for example.

For example, with LLMs and RAG systems, “using graph databases to map relationships within vast datasets can uncover deeper insights—such as better recommendations or enhanced search results—making ...

Graph databases map relationships between entities in a network. They won’t replace conventional relational databases, but for harnessing the value of interconnectedness they mark a breakthrough ...

Given the data, relationships, and timelines we know about a customer, patient, product, etc. ('the entity of interest'), how can we confidently predict the most likely next event? Jans Aasman, CEO, ...

Sivasubramanian further elaborated that the new service makes it easier for users to uncover hidden relationships across data – by storing the graph and vector data together. He also cited the example ...

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 ...

“Since both graph analytics and vectors are all about uncovering the hidden relationships across our data, we thought to ourselves: ‘what if we combined vector search with the ability to ...