zepdb

Zeppelin enables the creation of hybrid search indices by combining vector embeddings for semantic similarity with BM25 algorithms for traditional full-text keyword retrieval. It allows developers to perform fast, accurate document lookups across large datasets while maintaining native compatibility with S3 object storage for persistence.

Data engineers, backend developers, and search infrastructure architects benefit from Zeppelin. It is designed for teams requiring a lightweight, self-hosted alternative to managed search services who need to integrate high-performance indexing directly into their existing S3-based storage environments.

Zeppelin is an open-source project, allowing for free deployment and modification under its provided license. Because it is self-hosted and S3-native, organizations avoid recurring per-node licensing fees or managed service premiums, incurring only the underlying costs of their chosen object storage and compute resources.