Fanghua Yu, Field Engineer, Neo4j Apr 25 11mins read
What LLM & Graph May Bring to the Future of Knowledge GraphsNight light at Federation Square in Melbourne, photo by AuthorAbstractIn the last several decades, when people consider building a knowledge-related solution, they tend to look into two distinct directions based… Read more →
Alex Gilmore, Consulting Engineer, Neo4j Apr 09 6mins read
Learn when to use graph data models, like parent-child, question-based, and topic-summary, for RAG applications powered by knowledge graphs. Read more →
Martin O’Hanlon, Technical Curriculum Developer, Neo4j Mar 30 2mins read
Learn how Neo4j can help you make sense of your unstructured data. Enroll in this new free course on GraphAcademy.There’s a new course on GraphAcademy: Introduction to Vector Indexes and Unstructured Data.This course teaches you to understand unstructured data using… Read more →
Tomaž Bratanič, Graph ML and GenAI Research, Neo4j Mar 28 10mins read
Learn how to retrieve information that spans across multiple documents through multi-hop question answering using knowledge graphs and LLMs. Read more →
Morgan Sénéchal, Principal Consultant, Neo4j Mar 20 3mins read
Needle Starterkit 2.0, a library that simplifies your Neo4j front-end development, introduces new features like templates, chatbot, and more. Read more →
Jennifer Reif, Developer Relations Engineer at Neo4j Mar 05 6mins read
Learn how to write graph retrieval queries that supplement or ground the LLM’s answer for your RAG application, using Python and Langchain. Read more →
Nathan Smith, Senior Data Scientist at Neo4j Feb 29 13mins read
CLARANS extend k-medoids to larger datasets than were practical with earlier k-medoid algorithms, which is ideal for clustering large graphs. Read more →