Show HN: DuckDB community extension for prefiltered HNSW using ACORN-1 (opens in new tab)

(github.com)

85 pointscigrainger23h ago6 comments

Hey folks! As someone doing hybrid search daily and wishing I could have a pgvector-like experience but with actual prefiltered approximate nearest neighbours, I decided to just take a punt on implementing ACORN on a fork of the DuckDB VSS extension. I had to make some changes to (vendored) usearch that I'm thinking of submitting upstream. But this does the business. Approximate nearest neighbours with WHERE prefiltering.

Edit: Just to clarify, this has been accepted into the community extensions repo. So you can use it like:

```

INSTALL hnsw_acorn FROM community;

LOAD hnsw_acorn;

```

6 comments

edinetdb48m ago

This is great for analytical workloads. I work with financial time series data (Japanese company filings) and have been using BigQuery with in-memory caching for the hot path. Curious whether DuckDB extensions like this could replace the BQ dependency for smaller datasets — the cold start + query cost model of serverless warehouses can be painful for API-serving use cases.

jarpineh15h ago

As an aside, there's now Lance data format support in DuckDB through their extension. It has Lance's vector search support available among other things:

https://github.com/lance-format/lance-duckdb/tree/main?tab=r...

I just noticed this, and your post, and haven't yet checked neither (sorry). I'm however doing some vector search benchmarking soon, with DuckDB's options alongside others. So your work caught my attention here.

wolfgangK20h ago

Nice ! My most pressing request for VSS would be efficient binary vectors : is this on the table ?

cigraingerOP19h ago

I haven't given binary vectors a lot of thought, but I'm exploring RaBitQ[1].

[1] https://arxiv.org/abs/2405.12497

swaminarayan17h ago

Does your method work better than standard ANN when filters are very strict—and how does it affect speed vs accuracy?

esafak22h ago

Please upstream it.

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