Citrus review
A focused choice for lightweight vector storage with hosted and self-hosted options.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Citrus is an open-source vector database for storing embeddings and performing semantic similarity search. It is aimed at teams building retrieval-augmented generation, recommendation engines, website chatbots, and search across content such as articles, podcasts, and tweets. The product supports both managed cloud infrastructure and self-hosting, with persistent local storage for self-managed deployments. Its core workflow covers creating vector indexes, inserting vectors with optional text and metadata, and retrieving similar results.
Citrus uses a paid, tiered model. The Early Adopter plan supports up to 100k vectors, unlimited vector indices, and a 2-day support response time. Standard raises capacity to up to 5M vectors, keeps unlimited vector indices, and provides a 24-hour support response time. Enterprise adds unlimited vectors, dedicated infrastructure, and priority support. The published plans give a clear progression from smaller deployments to higher-capacity environments, while the absence of a free plan makes Citrus more appropriate for teams ready to fund a working deployment rather than casual evaluation.
Its strongest fit is a focused vector-storage layer: configurable indexes, metadata stored with vector records, a Python client library, and an HTTP API for hosted deployments cover the main access paths. Citrus also spans web, desktop, mobile, API, and self-hosted environments, although its practical value centers on the API and self-hosted options. Teams that need straightforward semantic search and control over deployment may find the scope appropriate. Choose an alternative if hybrid search or metadata filtering is central to the application, or if extensive documentation is a deciding factor.
Citrus pros and cons
- Where it wins
- Open-source deployment supports managed cloud and self-hosting.
- Semantic search, configurable indexes, and metadata storage work together.
- Python client and HTTP API support application integration.
- Where it doesn't
- There is no free plan for evaluation.
- Hybrid search and metadata filtering are not available.
- Documentation is relatively sparse for advanced deployment decisions.
Citrus fact sheet, pricing and score →
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