eigenDB is a purpose-built vector database tailored for AI and machine learning workloads. It enables users to ingest, index, and query high-dimensional embedding vectors in real time, supporting billions of vectors with sub-second search times. With features such as automated shard management, dynamic scaling, and multi-dimensional indexing, it integrates via RESTful APIs or client SDKs in popular languages. eigenDB also offers advanced metadata filtering, built-in security controls, and a unified dashboard for monitoring performance. Whether powering semantic search, recommendation engines, or anomaly detection, eigenDB delivers a reliable, high-throughput foundation for embedding-based AI applications.

RunReplicate is a unique tool for running and managing Replicate’s machine learning models, particularly those focused on image generation and processing. Unlike cloud-based solutions, RunReplicate operates entirely in your browser, utilizing IndexedDB for temporary image storage to enhance privacy. With its multi-tab interface, users can run different models simultaneously, facilitating complex workflows and quick comparisons between models or parameters. It also includes advanced safety controls, allowing users to toggle the Safety Checker for more control over the image generation process.