This is the Linux app named ZeusDB Vector Database whose latest release can be downloaded as Version0.4.1sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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ZeusDB Vector Database
DESCRIPTION
ZeusDB is a vector database built for fast, scalable similarity search with strong production ergonomics. It combines high-performance approximate nearest neighbor indexes with clean APIs and metadata filtering so applications can retrieve semantically relevant items at low latency. The storage layer is designed for durability and growth, supporting sharding, replication, and background compaction while keeping query tails predictable. Developers get multiple ingestion paths—batch, streaming, and upsert—making it easy to keep embeddings synchronized as content changes. Hybrid search is a core design goal, allowing you to mix vector, keyword, and filter queries in a single request for practical relevance. Observability and safety round out the system, with metrics, tracing, and guardrails to manage recalls, deletions, and privacy-sensitive data at scale.
Features
- High-throughput ANN indexes with support for billion-scale vectors
- Hybrid search combining vector similarity, keywords, and metadata filters
- Horizontal sharding and replication for durability and low tail latency
- Streaming and batch ingestion with upsert and versioned updates
- REST and gRPC APIs plus client SDKs for common languages
- Rich observability with metrics, tracing, and index health tooling
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/zeusdb-vector-database.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
