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Signed-off-by: Anush008 <mail@anush.sh>
Co-authored-by: Evgeniya Sukhodolskaya <suxodolskaya97@gmail.com>
Co-authored-by: Abdon Pijpelink <abdon.pijpelink@qdrant.com>
Co-authored-by: Ivan Pleshkov <pleshkov.ivan@gmail.com>
Co-authored-by: Anush008 <mail@anush.sh>
Co-authored-by: George Panchuk <george.panchuk@qdrant.tech>

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Signed-off-by: Anush008 <mail@anush.sh>
Co-authored-by: Anush008 <mail@anush.sh>
Co-authored-by: timvisee <tim@visee.me>
Co-authored-by: Ivan Pleshkov <pleshkov.ivan@gmail.com>
Co-authored-by: George Panchuk <george.panchuk@qdrant.tech>

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Signed-off-by: Anush008 <mail@anush.sh>
Co-authored-by: Anush008 <mail@anush.sh>
Co-authored-by: timvisee <tim@visee.me>
Co-authored-by: Ivan Pleshkov <pleshkov.ivan@gmail.com>
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Signed-off-by: Anush008 <mail@anush.sh>
Co-authored-by: Anush008 <mail@anush.sh>
Co-authored-by: timvisee <tim@visee.me>
Co-authored-by: Ivan Pleshkov <pleshkov.ivan@gmail.com>
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Signed-off-by: Anush008 <mail@anush.sh>
Co-authored-by: Anush008 <mail@anush.sh>
Co-authored-by: timvisee <tim@visee.me>
Co-authored-by: Luis Cossío <luis.cossio@qdrant.com>
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* Clean up Go and Java snippets

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Signed-off-by: Anush008 <mail@anush.sh>
Co-authored-by: Luis Cossío <luis.cossio@qdrant.com>
Co-authored-by: Daniel Boros <56868953+dancixx@users.noreply.github.com>
Co-authored-by: timvisee <tim@visee.me>
Co-authored-by: Evgeniya Sukhodolskaya <suxodolskaya97@gmail.com>
Co-authored-by: Ivan Pleshkov <pleshkov.ivan@gmail.com>
Co-authored-by: Anush008 <mail@anush.sh>
Co-authored-by: George Panchuk <george.panchuk@qdrant.tech>
2026-02-20 10:42:12 +01:00

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Concepts 8 qdrant

Concepts

Think of these concepts as a glossary. Each of these concepts include a link to detailed information, usually with examples. If you're new to AI, these concepts can help you learn more about AI and the Qdrant approach.

Collections

Collections define a named set of points that you can use for your search.

Payload

A Payload describes information that you can store with vectors.

Points

Points are a record which consists of a vector and an optional payload.

Search describes similarity search, which set up related objects close to each other in vector space.

Search Relevance

Search Relevance describes techniques to improve the ranking of search results by considering factors beyond vector similarity scores.

Explore

Explore includes several APIs for exploring data in your collections.

Hybrid Queries

Hybrid Queries combines multiple queries or performs them in more than one stage.

Filtering

Filtering defines various database-style clauses, conditions, and more.

Inference

Inference is the process of generating vectors (embeddings) from text or an image.

Optimizer

Optimizer describes options to rebuild database structures for faster search. They include a vacuum, a merge, and an indexing optimizer.

Storage

Storage describes the configuration of storage in segments, which include indexes and an ID mapper.

Indexing

Indexing lists and describes available indexes. They include payload, vector, sparse vector, and a filterable index.

Snapshots

Snapshots describe the backup/restore process (and more) for each node at specific times.