I "built" Sana, a vector DB on object storage
Disclaimer it is a heavily AI assisted project. The goal was not to be the most performative but the kind that's easier to learn from. I wanted to share this in case there are people who had the same idea or wanted to see something like this.
I "built" Sana, a vector DB on object storage launched on June 21, 2026 with 5 votes, #2,466 of 22,647 launches that month and more than 75% of that year's launches.
What it does
Contribute to djakish/sana development by creating an account on GitHub.
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. 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 HTTP API The wire format tracks turbopuffer's /v2 API. With serve running…from github.com
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