Hybrid Search in Neo4j: Full-Text, Vectors, and Graph Topology with Cypher
Blog post from Neo4j
Hybrid search in Neo4j is an advanced retrieval method that integrates lexical, semantic, and structural searches, enabling a comprehensive approach to finding relevant results by combining words, meanings, relationships, and structures in a single pipeline. This approach utilizes Cypher patterns and technologies such as Weighted Reciprocal Rank Fusion (WRRF) to re-rank results from multiple sources, ensuring a more precise retrieval than using any single search method. Lexical search focuses on exact vocabulary matches, semantic search identifies similar meanings even in different languages, and structural search examines graph contexts to determine relevance based on node relationships. By combining these methods, Neo4j's hybrid search provides a robust mechanism for tasks like support case investigations, allowing users to find related cases through a nuanced understanding of technical vocabulary, contextual similarities, and structural graph relationships. This approach is customizable, allowing teams to adjust weights and filters to better fit specific domain requirements, and demonstrates the unique value graph structures bring to search by not only improving post-search context but also guiding what should be retrieved initially.
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