GraphAware Graph-Aided Search
An Elasticsearch plugin that integrates with Neo4j to personalize search results using graph data.
What is GraphAware Graph-Aided Search?
GraphAided Search is an Elasticsearch plugin that integrates with Neo4j to personalize search results. It allows search queries to be enhanced with graph data, enabling features like boosting results based on user recommendations or filtering by social connections. The plugin intercepts search operations to apply custom logic from Neo4j before returning results to users.
Developers and engineers building search-driven applications that require personalization beyond text matching, such as e-commerce platforms, content recommendation systems, or social networks using Elasticsearch and Neo4j.
It provides a seamless, bi-directional integration between Elasticsearch and Neo4j, allowing developers to leverage graph algorithms for search relevance without rebuilding their infrastructure. The plugin is production-ready, extensible, and supports custom boosting and filtering logic.
Overview
Elasticsearch plugin offering Neo4j integration for Personalized Search
Use Cases
Best For
- Boosting search results based on user interest predictions in recommendation systems
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
