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Arnaud Gourlayandqdrant
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* Add replication docs diagram * docs auto-sync Co-authored-by: qdrant <qdrant@users.noreply.github.com>
29 lines
1.2 KiB
Markdown
29 lines
1.2 KiB
Markdown
---
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title: Documentation
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section_title: Everything you need to start working with Qdrant
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subtitle:
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---
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# Qdrant Documentation
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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.
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Qdrant is released under the open-source Apache License 2.0. Its source code is available on [GitHub](https://github.com/qdrant/qdrant).
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## Overview
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Qdrant is ideal for deploying applications based on the matching of embeddings produced by neural network encoders.
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These can be:
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- Semantic search
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- Similar Image \ Audio \ Video search
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- Recommendation systems
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In addition to this documentation, you may be interested in looking at examples of projects made with Qdrant:
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- [Semantic Search for startups](https://demo.qdrant.tech/) + [Source Code](https://github.com/qdrant/qdrant_demo)
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- [Visual Food Discovery](https://food-discovery.qdrant.tech/)
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- [Step-by-Step tutorial on building neural search](/articles/neural-search-tutorial/)
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