High-Throughput, Cost-Effective Billion-Scale Vector Search with a Single GPU [SIGMOD'26]
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Updated
Apr 22, 2026 - Cuda
High-Throughput, Cost-Effective Billion-Scale Vector Search with a Single GPU [SIGMOD'26]
GPU-native approximate nearest neighbor search for Apple Silicon. Pure Swift + Metal — CAGRA-style graph index with full mutability, filtered search, streaming ingest, and multiple persistence modes.
Jigen DB is vector database written from scratch in c#
A multilingual FAQ system using Sentence-Transformers + Pinecone semantic retrieval outperforming keyword-based baselines on low-latency, high-concurrency benchmarks.
Temporal and category-optimised graph ANN index supporting “top‑k neighbours of q with category C in time window [t_start, t_end]” via category-aware Filtered‑Vamana and Historic Neighbour Tree.
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