KAIST Researchers Launch CONDA Index

KAIST researchers led by professor Min-Soo Kim developed CONDA, a dynamic vector database indexing technology that preserves search paths as data evolves. Published in the VLDB Endowment, the system improved search accuracy by up to 24.5% and increased throughput by 1.90 times.