The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Coltt is a vector database that supports Multi-Vector Search, high-performance HNSW, FLAT and quantization, and enables fast searches through sophisticated internal data shard design.

HeatPro Python Package: Generate Heat Demand Load Profile for District Heating

A Java implementation of HNSW with multi-vector search support

CryptGuardian is a zero-dependency, advanced blockchain security module designed to detect, analyze, and mitigate threats in real-time. It integrates threat intelligence, pattern-based analysis, timing detection, and deep security alerts, making it a robust tool for monitoring blockchain data integrity.

Climate Monitoring Search Engine built on MultiVectors using Qdrant