mirror of
https://github.com/qdrant/landing_page.git
synced 2026-09-26 06:28:30 +02:00
* added a table of content * wide layout for docs, styles for the table of content * fixes for docs layout * wide footer at the docs section * added support for nested docs, added toggling groups of links, delimiters, external links * external link icon * added active state for nested links, styles for the external link icon * styles fix * remove doc sync * update directory structure and doc titles * fix outstanding links * fix more links for merge * Revert "fix more links for merge" This reverts commit 46c9ccaf1b7765f2cda8dc85d625fa6b4e3f5436. * Revert "fix outstanding links" This reverts commit 28e6380b74f1ab74690c8184551f186656d6d4e9. * fix remaining broken links * move how-to tutorials in the different page * split tutorials * fix link * upd github edit link * skip empty index pages --------- Co-authored-by: Andrey Vasnetsov <andrey@vasnetsov.com> Co-authored-by: David Sertic <62056091+davidmyriel@users.noreply.github.com>
1.1 KiB
1.1 KiB
title, weight
| title | weight |
|---|---|
| Qdrant Documentation | 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.
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: