An object-storage-native search database: vectors, full-text, and attribute filters over documents whose only durable home is an object store — a local directory or S3. A turbopuffer-inspired open-source clone, built in staged, documented commits.

AI disclaimer: this is an AI-assisted project (built with Claude and Codex). It exists to learn from, not to run your production on.

What works:

• Durable writes — WAL with a CAS-advanced commit cursor in object storage; strongly consistent reads through the unindexed overlay; idempotency keys, conditional writes, patch/delete-by-filter, write backpressure.
• Indexes — LSM document SSTs, delta-tiered attribute postings, BM25 full-text with rank-safe block MAXSCORE, IVF vectors with faithful RaBitQ quantization (SIMD kernels) and SPFresh-style local split/merge maintenance.
• One binary — a CLI, API-only serving, looped indexing/maintenance roles, all-in-one dev serving, operator GC dry-runs, and a Prometheus /metrics endpoint.
• Backends — local filesystem for dev; S3-compatible stores with server-enforced conditional writes (verified against MinIO).
• Operations — namespace branch, cross-store copy, deterministic export, leased replica pinning, cache warming, ANN recall endpoint.

Quick start

cargo run --release -- demo ./data        # tiny end-to-end demo
cargo run --release -- serve ./data       # HTTP service on 127.0.0.1:8080
cargo run --release --example usage       # library API tour
cargo run --release --example latency     # benchmark harness

User guide · Architecture · Build log & decisions · Contributing · Benchmarks

License

MIT — see LICENSE.