Neo4j, a popular graph database, offers powerful filtering capabilities that can be enhanced when combined with GraphQL and vector embeddings. This guide will explore how to implement advanced filtering techniques in Neo4j, particularly in the context of HybridRAG (Hybrid Retrieval Augmented Generation) systems.
(more…)Category: optimisations
Comprehensive Guide to Filtering in Qdrant
Filtering is a crucial feature in vector databases like Qdrant, allowing users to refine search results based on specific criteria. This guide will explore how filtering works in Qdrant, its implementation, and best practices for optimal performance.
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