Next-Generation Vector Intelligence: Endee.io The Inspiration We built Endee to serve as the high-performance memory layer for modern AI agents and semantic search. We saw that as AI adoption accelerated, the tools meant to support it were becoming its biggest bottleneck. We were inspired to create a solution where fast, reliable retrieval enables smarter reasoning and decision-making without the traditional infrastructure burden. The Problem Legacy vector databases fail to keep up with real-world scale. They often require complex clustering and heavy infrastructure that causes retrieval to dominate up to 60% of total AI spend. Furthermore, enterprise data is frequently left exposed due to a lack of standard encryption, forcing developers to compromise on either accuracy or security to manage costs. The Evolution While we started with performance, our approach evolved into engineering a leaner, more secure "Vector Graph Engine". We’ve moved beyond raw speed to focus on: * Extreme Efficiency: Outperforming leading databases while requiring only a tenth of the memory footprint. * Superior Performance: Delivering massive throughput (QPS) and high precision (Recall) with lightning-fast latency. * Unmatched Security: Implementing queryable encryption that allows searches directly on encrypted data, ensuring full data sovereignty. Open Access: To empower the community, Endee is now fully open source (available at github.com/endee-io/endee).

Endee.io

Open Source Vector DB For Scalable High-Performance AI

Open Source Vector DB For Scalable High-Performance AI