The information retrieval foundation for the next generation of AI applications
Epsilla is an open-source vector database. Epsilla offers low-latency searches across billions of vectors, consumption-based database-as-a-service, comprehensive APIs, and multi-language bindings. Our team has 7 years of experience building the high-performance graph database, and our advanced ANN index leverages parallel graph traversal technology, making the vector search 10x faster.
With the surge of LLMs and the evolution of AI agents for task planning and decomposition for complex tasks, a high-performance vector database for information retrieval and enhancing context in prompts is a MUST! Most vector databases utilize HNSW, and its performance significantly degrades when aiming for high search precision.
We’ve reimagined vector search from the ground up for scalability, performance, and cost-effectiveness. We implemented the state-of-art ANN index algorithm from the academia that leverages intra-query parallel graph traversal, which outperforms HNSW by 5x on high precision query latency on medium size (1M) vector space and outperforms HNSW by 50 times on large-scale vector search.