The pgvector plugin is a plugin for PostgreSQL that provides
high-performance vector data types and related query capabilities.
This plugin makes it more efficient and convenient to store and
process vector data in PostgreSQL.
Here are some features and functionalities of the pgvector plugin:
1. Vector data type: The pgvector plugin introduces a new data
type called "vector" that can be used to store and manipulate
The pgvector plugin is a plugin for PostgreSQL that provides
high-performance vector data types and related query capabilities.
This plugin makes it more efficient and convenient to store and
process vector data in PostgreSQL.
Here are some features and functionalities of the pgvector plugin:
1. Vector data type: The pgvector plugin introduces a new data
type called "vector" that can be used to store and manipulate
high-dimensional vector data.
2. Vector indexing: pgvector provides support for indexing and
querying vector data, making it easier to perform similarity searches,
clustering, and classification operations on vector data. The plugin
supports GIN and GiST index types.
3. Vector operations: pgvector provides a range of vector operation
functions, allowing for addition, subtraction, dot product calculation,
and length calculation between vectors.
4. Similarity search: The pgvector plugin supports similarity searches
based on vector similarity metrics. It enables similarity calculation and
search using cosine similarity and other measurement methods.
5. High performance: pgvector is optimized for vector data by utilizing
SIMD instructions and efficient data structures, ensuring high-performance
vector operations and queries.
6. Extensibility: As an open-source project, the pgvector plugin offers flexible
custom extension interfaces, allowing users to customize and extend its
functionality based on their specific needs.