Merge pull request #559 from qdrant/mjang-embeddings-frameworks

Set up an index page for Concepts
This commit is contained in:
Mike Jang
2024-02-06 06:04:32 -08:00
committed by GitHub
@@ -2,5 +2,52 @@
title: Concepts
weight: 21
# If the index.md file is empty, the link to the section will be hidden from the sidebar
is_empty: true
---
---
# 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](/documentation/concepts/collections/) define a named set of points that you can use for your search.
## Payload
A [Payload](/documentation/concepts/payload/) describes information that you can store with vectors.
## Points
[Points](/documentation/concepts/points/) are a record which consists of a vector and an optional payload.
## Search
[Search](/documentation/concepts/search/) describes _similarity search_, which set up related objects close to each other in vector space.
## Explore
[Explore](/documentation/concepts/explore/) includes several APIs for exploring data in your collections.
## Filtering
[Filtering](/documentation/concepts/filtering/) defines various database-style clauses, conditions, and more.
## Optimizer
[Optimizer](/documentation/concepts/optimizer/) describes options to rebuild
database structures for faster search. They include a vacuum, a merge, and an
indexing optimizer.
## Storage
[Storage](/documentation/concepts/storage/) describes the configuration of storage in segments, which include indexes and an ID mapper.
## Indexing
[Indexing](/documentation/concepts/indexing/) lists and describes available indexes. They include payload, vector, sparse vector, and a filterable index.
## Snapshots
[Snapshots](/documentation/concepts/snapshots/) describe the backup/restore process (and more) for each node at specific times.