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title: Qdrant Documentation
weight: 10
---

# Overview

Qdrant (read: quadrant ) is a vector similarity search engine. It provides a production-ready service with a convenient API to store, search, and manage points - vectors with an additional payload. Qdrant is tailored to extended filtering support. It makes it useful for all sorts of neural network or semantic-based matching, faceted search, and other applications.

Qdrant is released under the open-source Apache License 2.0. Its source code is available on [GitHub](https://github.com/qdrant/qdrant).

## Common uses

Qdrant is ideal for deploying applications based on the matching of embeddings produced by neural network encoders.

These can be:

- Semantic search
- Similar Image \ Audio \ Video search
- Recommendation systems

In addition to this documentation, you may be interested in looking at examples of projects made with Qdrant:

- [Semantic Search for startups](https://demo.qdrant.tech/) + [Source Code](https://github.com/qdrant/qdrant_demo)
- [Visual Food Discovery](https://food-discovery.qdrant.tech/)
- [Step-by-Step tutorial on building neural search](/articles/neural-search-tutorial/)