# Postgres Vector Extensions

> Browse 9 items in Postgres Vector Extensions.

## Items

- [pgvector](https://vectordb.ever.works/vi/items/pgvector) — pgvector is a Postgres extension for vector similarity search with HNSW/IVFFlat indexes, integrates seamlessly with SQL for hybrid queries. Perfect for existing Postgres users in RAG/KB apps; compares to dedicated VDBs by leveraging relational ACID. Features: exact KNN, distance ops.
- [pgvecto.rs](https://vectordb.ever.works/vi/items/pgvectors) — Rust-based PostgreSQL extension accelerating vector similarity search with diskless HNSW (20x faster than pgvector), DiskANN indexes, and hybrid SQL for ANN on embeddings. Enables FP16/INT8/binary vectors with ACID compliance; perfect for high-throughput RAG in DB, real-time analytics. Superior speed/resource efficiency vs dedicated vector stores like Weaviate, all within Postgres.
- [pgvectorscale](https://vectordb.ever.works/vi/items/pgvectorscale) — Timescale extension for pgvector introducing StreamingDiskANN for disk-optimized, high-recall ANN search (28x lower p95 latency vs Pinecone), with hybrid SQL+vector capabilities. Supports binary quantization, filtered queries; scales RAG/analytics to billions on existing Postgres without sharding.
- [AI Image Cleaner](https://vectordb.ever.works/vi/items/ai-image-cleaner-1) — AI Image Cleaner: Remove Objects from Photos
- [AI Image Cleaner](https://vectordb.ever.works/vi/items/ai-image-cleaner) — AI Image Cleaner: Remove Objects from Photos
- [pgvector-cobol](https://vectordb.ever.works/vi/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/vi/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.
- [pgvector-dotnet](https://vectordb.ever.works/vi/items/pgvector-dotnet) — Official .NET SDK/client (C#/F#) for pgvector, supporting async vector insert/query with HNSW/IVF indexes over Postgres. Integrates with Npgsql, Dapper, Entity Framework for type-safe operations. Suited for enterprise .NET app integration in RAG/semantic search; official bindings vs. community or direct SQL.
- [pgvector-elixir](https://vectordb.ever.works/vi/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.

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