Qdrant and Neo4j - Relevant and Diverse Vector Search - MMR and Context Engineering
Qdrant - Vector Database & Search Engine via YouTube
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Overview
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Learn advanced vector search techniques through this comprehensive meetup recording featuring presentations from Qdrant and Neo4j experts on Maximal Marginal Relevance (MMR) and context engineering strategies. Explore how MMR algorithms enhance search relevance and diversity in vector databases during the opening Qdrant presentation, then discover methods for combining vector and graph technologies in Neo4j's technical deep-dive. Watch a practical demonstration from Intungle showcasing real-world implementation of these concepts, followed by insights from the Neo4j community on emerging trends and best practices. Gain hands-on knowledge of cutting-edge approaches to improve search quality, reduce result redundancy, and leverage hybrid vector-graph architectures for more sophisticated information retrieval systems.
Syllabus
0:00 Qdrant - MMR
27:36 Neo4j - Combining Vector & Graph
46:07 Intungle - Demo
1:00:00 Neo4j Community Presentation
Taught by
Qdrant - Vector Database & Search Engine