Erl VectorDB

About

Erl VectorDB is a robust, high-performance vector database built on Erlang/OTP, meticulously designed to harness the power of the Actor model and OTP supervision trees. This architecture ensures exceptional fault tolerance, massive concurrency, and horizontal scalability for demanding AI/ML applications. It integrates a full Model Context Protocol (MCP) implementation, a REST API, and OAuth 2.1 authentication, making it a versatile solution for managing, searching, and securing vector embeddings in distributed environments, further enhanced by advanced vector compression and hot code reloading capabilities.

Key Features

• Distributed Clustering with Automatic Replication and Failover
• Vector Compression with Multiple Algorithms for Storage Efficiency
• Dynamic Store Management and Hot Code Reloading
• OTP-Native Architecture for Fault Tolerance and Concurrency
• 0 GitHub stars
• OAuth 2.1 Authentication and Comprehensive REST API

Use Cases

• Building scalable and fault-tolerant backend services for embedding management.
• Developing high-performance AI/ML applications requiring vector similarity search.
• Integrating secure vector operations with existing web applications via REST API.