# Diskann

> Browse 6 items tagged with Diskann.

## Items

- [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.
- [libSQL](https://vectordb.ever.works/items/libsql) — SQLite fork with native DiskANN vector search, enabling hybrid SQL+vector on production-ready embedded relational infra with ACID. Leverages existing SQLite apps vs dedicated VDBs.
- [Timescale Vector](https://vectordb.ever.works/items/timescale-vector) — PostgreSQL extension stack (pgvector + pgvectorscale + pgai) adding StreamingDiskANN for hybrid SQL+vector search with ACID transactions on existing Postgres infra. 11x QPS advantage over Qdrant at scale; cost-effective vs dedicated VDBs.
- [StreamingDiskANN](https://vectordb.ever.works/items/streamingdiskann) — DiskANN-inspired index type in pgvectorscale optimized for disk-based storage with streaming updates, enabling billion-scale vectors with limited memory.
- [Filtered-DiskANN](https://vectordb.ever.works/items/filtered-diskann) — Microsoft research extension to DiskANN algorithm that enables efficient label-based filtering during vector search, allowing precise results with metadata constraints without sacrificing performance.
- [Azure Cosmos DB Vector Indexing](https://vectordb.ever.works/items/azure-cosmos-db-vector-indexing) — Native vector indexing capability in Azure Cosmos DB that supports flat, quantizedFlat, and diskANN index types for efficient vector similarity search using the VectorDistance function. It enables low-latency, high-throughput, and cost-efficient vector search directly in Cosmos DB collections, with options for brute-force exact search (flat), compressed brute-force search (quantizedFlat), and approximate nearest neighbor search (diskANN).

---

_Canonical page: https://vectordb.ever.works/tags/diskann_
