The Neo4j Graph Algorithms Library is a tool designed to help users leverage graph analytics for faster innovation and intelligent solution development. The library offers various graph traversal algorithms, including breadth-first search (BFS) and depth-first search (DFS), which have been tuned for efficiency and streamlined for management and debugging. The library exposes these algorithms as user-defined procedures called as part of Cypher statements running on top of Neo4j. Graph projection is a handy feature that places a logical subgraph into the algorithm when the original graph has the wrong shape or granularity, enabling fast caching for the topology of the graph. Two types of projections are available: label and relationship-type projection, and Cypher projection, which uses node-statement and relationship-statement to project subsets of the graph. The library also offers huge graph projection for large graphs with limitations. Various algorithm types cater to different use cases, including transactions and operational decisions, as well as broader views of patterns and structures across all data and relationships.