# Sql Vector

> Browse 3 items tagged with Sql Vector.

## Items

- [pgvecto.rs](https://vectordb.ever.works/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/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.
- [LanceDB](https://vectordb.ever.works/items/lancedb) — LanceDB is an embedded vector database built on Apache Arrow/Lance format for multimodal data, supports SQL queries, zero-copy reads, disk-based indexes like IVF-PQ. Ideal for ML pipelines and analytics; vs Chroma more columnar/multimodal focus. Features: serverless cloud, Python/Rust SDKs.

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