TOIS 2023 paper proposing reinforcement learning-based routing on proximity graphs for efficient recommendation, applying graph traversal optimization to recommendation systems using vector-based item representations.

A 2026 research paper presenting graph-based algorithms for diverse similarity search, where results must be both similar to the query and diverse from each other. This addresses the common problem of redundant results in traditional similarity search.

Efficient multi-vector retrieval system using sparsified late interaction with inverted indexes. Achieves 40% less storage and 83% lower latency than ColBERT-v2 while maintaining competitive accuracy.

Agentic Search and Memory Retrieval technique by Supermemory using parallel reader agents and search agents that achieved ~99% accuracy on LongMemEval benchmark.

Most accurate agent memory system achieving 91.4% on LongMemEval with four parallel retrieval strategies and four distinct memory networks for world knowledge, experience, and opinions.

Advanced retrieval approach combining dense vectors, sparse vectors, and reranking in a multi-stage pipeline, achieving up to 48% better performance than single-method retrieval.