IDEA is an inverted, deduplication-aware index structure designed to improve storage efficiency and query performance for similarity search workloads. It is implemented as research code and targets high-dimensional vector and content-addressable data, making it relevant to large-scale vector database and ANN indexing systems.
Category: SDKs & Libraries
Website/Source: https://github.com/asaflevi0812/IDEA
IDEA (Inverted Deduplication-Aware Index) is a research implementation of an index structure designed to improve storage efficiency and query performance for similarity search workloads. It targets high-dimensional vector data and content-addressable data, making it applicable to large-scale vector databases and approximate nearest neighbor (ANN) indexing systems. The codebase accompanies the paper “Physical vs. Logical Indexing with IDEA: Inverted Deduplication-Aware Index” (FAST ’24) and builds on the Destor open-source storage system.
install_dependencies.sh) tailored to a clean Ubuntu Server 22.04 LTS environment.install_dependencies.sh script.Loading more......