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58 lines
1.9 KiB
Markdown
58 lines
1.9 KiB
Markdown
---
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title: Concepts
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weight: 8
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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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---
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# Concepts
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Think of these concepts as a glossary. Each of these concepts include a link to
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detailed information, usually with examples. If you're new to AI, these concepts
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can help you learn more about AI and the Qdrant approach.
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## Collections
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[Collections](/documentation/concepts/collections/) define a named set of points that you can use for your search.
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## Payload
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A [Payload](/documentation/concepts/payload/) describes information that you can store with vectors.
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## Points
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[Points](/documentation/concepts/points/) are a record which consists of a vector and an optional payload.
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## Search
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[Search](/documentation/concepts/search/) describes _similarity search_, which set up related objects close to each other in vector space.
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## Explore
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[Explore](/documentation/concepts/explore/) includes several APIs for exploring data in your collections.
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## Hybrid Queries
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[Hybrid Queries](/documentation/concepts/hybrid-queries/) combines multiple queries or performs them in more than one stage.
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## Filtering
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[Filtering](/documentation/concepts/filtering/) defines various database-style clauses, conditions, and more.
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## Optimizer
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[Optimizer](/documentation/concepts/optimizer/) describes options to rebuild
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database structures for faster search. They include a vacuum, a merge, and an
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indexing optimizer.
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## Storage
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[Storage](/documentation/concepts/storage/) describes the configuration of storage in segments, which include indexes and an ID mapper.
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## Indexing
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[Indexing](/documentation/concepts/indexing/) lists and describes available indexes. They include payload, vector, sparse vector, and a filterable index.
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## Snapshots
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[Snapshots](/documentation/concepts/snapshots/) describe the backup/restore process (and more) for each node at specific times.
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