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Epsilla - A 10x faster open source vector database

The information retrieval foundation for the next generation of AI applications

🚀 TL;DR

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.

❌ The Problem

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.

⭐️ Our Solution

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.

🔦 The Ask