citrus

A distributed vector database designed for scalable and efficient vector similarity search. It is purpose-built for handling large-scale vector data and search workloads.

• Source: GitHub Repository
• Category: Vector Database Engines
• Tags: open-source, distributed, vector-search, scalable

Features

• Open-source vector database.
• Distributed architecture (note: not fully distributed yet, ongoing development).
• Handles large-scale vector data and search workloads.
• Supports creation of indexes for vector data.
• Allows insertion of elements, including direct passing of vector embeddings.
• Supports automatic embedding generation using OpenAI (requires OPENAI_API_KEY in environment).
• Option to use other embedding providers (future support planned).
• Search functionality returns IDs of top-k similar vectors by default, with options to return associated text and metadata.
• Example integrations and demos provided (e.g., chat, pokedex search).

Pricing

No pricing information provided; citrus is open-source.