---
scope: org
organization: turbopuffer
release_count: 3
last_release: 2026-06-01
generated: 2026-06-16
canonical: https://releases.sh/turbopuffer/overview.md
---

An `i8` vector type landed in June, cutting storage and query cost by 75% compared to `f32` for quantization-aware models.

**Smaller vectors, lower cost** — The new `i8` type targets models already trained for quantized inference, making high-throughput retrieval meaningfully cheaper without a quality trade-off.

**Namespace branching and fuzzy search** — May brought instant copy-on-write namespace cloning via namespace branching, alongside a Fuzzy filter for typo-tolerant string matching. A C# API client shipped alongside an updated `word_v4` tokenizer that runs roughly 3× faster than its predecessor, and API keys can now be scoped to list-namespaces only.

**Sparse vectors, cross-cloud copies, and faster writes** — April added sparse vector search support and cross-provider namespace copies between GCP and AWS. AWS write latency dropped 2.5× through a faster commit cadence. Full-text query length limits rose to 8,192 characters, attributes per namespace expanded to 1,024, and three new regions opened in São Paulo, South Carolina, and Belgium. Namespace pinning arrived as a way to hold frequently queried data in cache at high QPS without overpaying for idle time.