citrus

This open-source vector database stores and retrieves embeddings to enable fast, scalable semantic search across documents, articles, podcasts, tweets, and websites, solving data silos, vendor lock-in, high costs, and maintenance headaches by allowing self-hosting and keeping data under your control. It enables Retrieval-Augmented Generation for language models, provides a high-performance vector index, distributed and scalable infrastructure, cost efficiency, observability, and interoperability with existing databases, along with features like cross-data-type search, recommendation engines, website chatbots, and knowledge bases, making it suitable for developers, data teams, engineers, product managers, and IT organizations seeking private, secure, customizable semantic search and AI-enabled insights.

citrus can be found in Vector Databases categories.