> For the complete documentation index, see [llms.txt](https://mariadb.com/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mariadb.com/docs/server/reference/sql-structure/vectors.md).

# Vectors

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[Vector Overview](/docs/server/reference/sql-structure/vectors/vector-overview.md)
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Official MariaDB Vector reference: VECTOR(n) data type, VECTOR INDEX (M, DISTANCE=euclidean|cosine), VEC\_FromText() inserts, VEC\_DISTANCE() queries.
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[CREATE TABLE with Vectors](/docs/server/reference/sql-structure/vectors/create-table-with-vectors.md)
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Create tables optimized for vector storage. Learn to define columns with the VECTOR data type and configure vector indexes for similarity search.
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[Vector System Variables](/docs/server/reference/sql-structure/vectors/vector-system-variables.md)
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System variables that control MariaDB's vector storage and similarity-search features.
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[Vector Framework Integrations](/docs/server/reference/sql-structure/vectors/vector-framework-integrations.md)
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MariaDB Vector integrations with popular AI and application frameworks.
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[Vector Functions](/docs/server/reference/sql-functions/vector-functions.md)
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Explore vector functions. This section details SQL functions for manipulating and querying vector data types, enabling efficient similarity search and AI/ML applications within your database.
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[VECTOR](/docs/server/reference/sql-structure/vectors/vector.md)
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The VECTOR data type, available from MariaDB 11.7.1, for storing fixed- length numeric arrays used in vector search.
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[Optimizing Hybrid Search Query with Reciprocal Rank Fusion (RRF)](/docs/server/reference/sql-structure/vectors/optimizing-hybrid-search-query-with-reciprocal-rank-fusion-rrf.md)
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Combine full-text (keyword) and vector search using Reciprocal Rank Fusion (RRF) for higher-quality hybrid search results.
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