Over 10,000 physical typewritten documents from 1932 to 1941 had to be digitised, structured, and connected in order to create a single, centralised source of knowledge, for enabling the analysis of historical processes.
Christophe Willemsen, CTO, GraphAware, explains how to apply NLP to extract entities and key phrases to build and search knowledge graphs
Mayank Gupta, SVP of Data and Wren Chan, VP of Foundational Architecture and Innovation from LPL Financial present how they use GraphAware Hume and Neo4j to power financial chat bots.
In this informative talk, Christophe Willemsen, CTO at GraphAware, provides valuable insights on how to use Neo4j’s Lucene-based search engine to achieve relevant search results. With Willemsen’s expert guidance, you’ll learn useful tips and tricks for optimizing your search queries and improving the accuracy of your search results. As the CTO of GraphAware, a company specializing in graph database technology, Willemsen is well-versed in the capabilities of Neo4j and is well-equipped to share his knowledge with you.