# Pgvector

> Browse 20 items tagged with Pgvector.

## Items

- [pgvector-cobol](https://vectordb.ever.works/ar/items/pgvector-cobol) — COBOL bindings and examples for pgvector, letting legacy COBOL systems interact with PostgreSQL as a vector database.
- [pgvector-crystal](https://vectordb.ever.works/ar/items/pgvector-crystal) — Crystal SDK/client for pgvector PostgreSQL extension, providing idiomatic bindings for vector storage and similarity search. Supports embeddings workflows (OpenAI/Cohere), hybrid/sparse search via crystal-pg driver. For integrating Postgres vector ops into Crystal apps; official community client vs. direct SQL or other lang bindings.
- [Rivestack](https://vectordb.ever.works/ar/items/rivestack) — Managed PostgreSQL with pgvector for AI workloads, featuring HNSW indexing and embedding search.
- [pgvector-elixir](https://vectordb.ever.works/ar/items/pgvector-elixir) — pgvector-elixir is the Elixir client for pgvector, allowing vector similarity search and operations from Elixir/Phoenix apps connected to Postgres. Supports Ecto integration for seamless queries with HNSW/IVF indexes and distance metrics. Ideal for functional web apps with semantic search; extends pgvector ecosystem to Elixir BEAM VM, offering concurrent high-throughput vs. single-threaded clients.
- [PostgreSQL (with pgvector)](https://vectordb.ever.works/ar/items/postgresql-pgvector) — Powerful open-source object-relational database system that, with the pgvector extension, serves as a capable vector database for AI applications. Widely used from small projects to large-scale enterprise systems, and offered as managed services by major cloud providers.
- [PostgreSQL (with pgvector)](https://vectordb.ever.works/ar/items/postgresql-with-pgvector) — Powerful open-source object-relational database system that, with the pgvector extension, serves as a capable vector database for AI applications. Widely used from small projects to large-scale enterprise systems, and offered as managed services by major cloud providers.
- [ruvector-postgres](https://vectordb.ever.works/ar/items/ruvector-postgres) — PostgreSQL extension providing 230+ SQL functions as pgvector replacement, enabling vector search, graph queries, and AI features directly in relational databases.
- [pgvector-erlang](https://vectordb.ever.works/ar/items/pgvector-erlang) — Erlang client and examples for pgvector, providing tools to run vector operations against PostgreSQL from Erlang systems.
- [pgvector-gleam](https://vectordb.ever.works/ar/items/pgvector-gleam) — Gleam language client and examples for pgvector, allowing Gleam applications to perform vector similarity search using PostgreSQL.
- [pgvector-haskell](https://vectordb.ever.works/ar/items/pgvector-haskell) — Haskell bindings and examples for pgvector, enabling Haskell applications to treat PostgreSQL as a vector database.
- [pgvector-lisp](https://vectordb.ever.works/ar/items/pgvector-lisp) — Lisp bindings and examples for pgvector, allowing Common Lisp projects to leverage PostgreSQL as a vector store.
- [pgvector-ocaml](https://vectordb.ever.works/ar/items/pgvector-ocaml) — OCaml client and examples for pgvector that provide access to vector indexing and nearest-neighbor search in PostgreSQL from OCaml code.
- [pgvector-pascal](https://vectordb.ever.works/ar/items/pgvector-pascal) — Pascal bindings and examples for pgvector, supporting PostgreSQL-powered vector search from Pascal applications.
- [pgvector-perl](https://vectordb.ever.works/ar/items/pgvector-perl) — Perl client and examples for pgvector, exposing vector data types and similarity queries in PostgreSQL to Perl scripts and apps.
- [pgvector-prolog](https://vectordb.ever.works/ar/items/pgvector-prolog) — Prolog client and examples for pgvector, enabling logic programs to interact with vector search capabilities in PostgreSQL.
- [pgvector-python](https://vectordb.ever.works/ar/items/pgvector-python) — Python library and examples for pgvector, integrating Python AI/ML pipelines with PostgreSQL vector storage and similarity queries.
- [pgvector-ruby](https://vectordb.ever.works/ar/items/pgvector-ruby) — Ruby client and examples for pgvector, integrating Ruby applications (including Rails) with PostgreSQL vector operations for AI use cases.
- [pgvector-rust](https://vectordb.ever.works/ar/items/pgvector-rust) — Rust client and examples for pgvector, offering idiomatic Rust APIs for embedding storage and similarity queries in PostgreSQL.
- [pgvector-swift](https://vectordb.ever.works/ar/items/pgvector-swift) — Swift bindings and examples for pgvector, allowing Swift and server-side Swift apps to use PostgreSQL as a vector database.
- [PostgreSQL](https://vectordb.ever.works/ar/items/postgresql) — A powerful, open-source relational database that can be extended with modules like pgvector to support efficient storage and similarity search of vector embeddings, effectively functioning as a vector database.

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_Canonical page: https://vectordb.ever.works/ar/tags/pgvector_
