Zvec

Zvec is a lightweight and fast in-process vector database designed to simplify building high-performance AI applications. It removes the complexity often associated with vector databases, allowing you to focus on creating powerful features without getting held back.

The core of its simplicity is an intuitive Python API. You can easily create a collection, insert documents with their vector embeddings, and perform semantic searches with just a few lines of code. This straightforward process makes it accessible for developers at all levels.

Performance is a key feature. Zvec demonstrates blazing-fast capabilities, capable of indexing 10 million vectors in approximately one hour and handling over 8500 queries per second (QPS). This level of performance is crucial for real-time applications.

Use it to build a variety of powerful AI-driven tools, including:

• Retrieval-Augmented Generation (RAG): Enhance LLM responses by retrieving relevant information from your own knowledge base.
• Image Search: Find visually or semantically similar images at a large scale.
• Code Search: Locate code snippets by describing their function in natural language.