Neo4j Graphs, Acceleration Frameworks, and Recommendations: A Winning Trio
Sep 30 17 mins read
Learn to build accurate, explainable recommendation systems with minimal code using Neo4j graph database and Keymaker framework. Read more →
Learn to build accurate, explainable recommendation systems with minimal code using Neo4j graph database and Keymaker framework. Read more →
Learn how to overcome the challenges of structured data operations in text embeddings in RAG applications using knowledge graphs. Read more →
Enhance GraphRAG applications by combining hybrid search and graph traversal with Neo4j’s HybridCypherRetriever, improving retrieval for complex queries. Read more →
Recommend movies to users based on their reading histories and ratings. Learn the setup of Neo4j, mapping data into Java with Neo4j Object Graph Mapper (Neo4j-OGM), and crafting Cypher queries for recommendations. Read more →
Learn how to build a recommendation engine using Cyper Query Language and graph data model step-by-step, hands-on. Read more →
This week, we’re exploring book recommendation data as a graph. And what better source for that than Goodreads?If you’d rather watch the recording of our livestream, enjoy it here and below. Otherwise, keep on reading.The DatasetI found a well-sized dataset… Read more →