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* 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>
13 lines
529 B
Markdown
13 lines
529 B
Markdown
---
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title: Integrations
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weight: 60
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# If the index.md file is empty, the link to the section will be hidden from the sidebar
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is_empty: false
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---
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# Integrations
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Qdrant is a vector database performing an approximate nearest neighbours search on neural embeddings. It can work perfectly fine
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as a standalone system, yet, in some cases, you may find it easier to implement your semantic search application using some
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higher-level libraries. Some of such projects provide ready-to-go integrations and here is a curated list of them.
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