MIRAGE-ANNS: Mixed Approach Graph-based Indexing for Approximate Nearest Neighbor Search
Summary: Mixed Incremental Refinement Graphs (MIRAGE-ANNS) merges refinement-based construction with incremental inserts for ANNS. Delivers state-of-the-art construction and query performance, up to 2x throughput on real datasets, enabling RAG-backed LLM retrieval. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,154 | Distribution-Aware Exploration for Adaptive HNSW Search | 2026 | SIGMOD | 4.1945683e-05 |
| 10,160 | Efficient Vector Index Merging in Vector Databases | 2026 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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