# Vector Store

> Browse 17 items tagged with Vector Store.

## Items

- [pgvector-cobol](https://vectordb.ever.works/items/pgvector-cobol) — COBOL bindings and examples for pgvector, letting legacy COBOL systems interact with PostgreSQL as a vector database.
- [pgvector-elixir](https://vectordb.ever.works/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.
- [DataRobot Vector Databases (GenAI)](https://vectordb.ever.works/items/datarobot-vector-databases-genai) — A premium vector database capability within the DataRobot Generative AI platform that stores chunked unstructured text and their embeddings for retrieval-augmented generation (RAG). Users can create vector database objects, connect supported data sources from the DataRobot Data Registry, configure embeddings and chunking, and attach these vector databases to LLM blueprints in the playground to ground model responses in proprietary data.
- [pgvector-erlang](https://vectordb.ever.works/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/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/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/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/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/items/pgvector-pascal) — Pascal bindings and examples for pgvector, supporting PostgreSQL-powered vector search from Pascal applications.
- [pgvector-perl](https://vectordb.ever.works/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/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/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/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/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/items/pgvector-swift) — Swift bindings and examples for pgvector, allowing Swift and server-side Swift apps to use PostgreSQL as a vector database.
- [HeatWave](https://vectordb.ever.works/items/heatwave) — A feature for MySQL that integrates vector store capabilities, allowing users to store and process vector embeddings for AI applications.
- [Qwak Vector Store](https://vectordb.ever.works/items/qwak-vector-store) — Qwak provides a vector store solution engineered for optimized storage and querying of vector embeddings, offering efficient search capabilities, high performance, scalability, and data retrieval by identifying similarities among data points.

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_Canonical page: https://vectordb.ever.works/tags/vector-store_