Role-Oriented Dynamic Network Embedding

Enhancing RAG Systems: A Survey of Optimization Strategies for Performance and Scalability

“…These benchmarks demonstrate the substantial performance gains provided by FAISS, particularly when dealing with large-scale datasets.If I/O efficiency is the priority during the indexing process, DISK-ANN is an algorithm to look out for. DiskANN, and its improved version LM-DiskANN[25], are graph-based Approximate Nearest Neighbour (ANN) search algorithms designed to handle extremely large datasets that cannot fit entirely in memory. Unlike traditional graph-based indexes that reside solely in memory, DiskANN leverages disk storage for storing the index structure, loading portions into memory on-demand during search.…”