zvec: In-Process Vector Database
What it is
zvec is a lightweight, open-source vector database library that runs in-process, eliminating the need for external servers. It supports dense and sparse vectors, full-text search, and hybrid queries with durable storage via WAL and support for multiple index types like HNSW and DiskANN.
The problem it solves
Traditional vector databases require dedicated servers and complex configuration, adding latency and infrastructure costs for applications that only need simple, local, or embedded similarity search capabilities.
What you could use it for
- Semantic search in local applications without a database server
- Hybrid retrieval combining vector similarity and keyword matching
- Embedding storage for AI agents and RAG pipelines
- Lightweight similarity search on edge devices or mobile apps
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.