Cottontail DB is an open-source vector database for storing and searching high-dimensional data, with features geared towards research and production environments.

OasysDB is an open-source vector database focused on efficient similarity search and management of high-dimensional data.

VLDB 2024 paper presenting DIDS, a fast similarity search method using double indices and double summarizations to accelerate high-dimensional vector queries.

Paper proposing the Satellite System Graph (NSSG) approach for high dimensional similarity search, emphasizing efficiency, scalability, and unindexed query compatibility. Published in TPAMI 2021 by Fu et al.

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.

Qinco is an open-source implementation from Facebook Research for Residual Quantization with Implicit Neural Codebooks. It provides quantization and indexing methods for compact vector representations to accelerate similarity and nearest neighbor search, making it relevant as a low-level vector indexing and compression component for vector databases and large-scale AI retrieval systems.