DuckDB-HNSW-ACORN drops with pre-filtered vector search
A high-performance DuckDB extension that integrates the ACORN-1 algorithm to enable accurate, pre-filtered vector search directly within SQL queries. It solves the "post-filtering" accuracy drop in current vector extensions and introduces RaBitQ 1-bit quantization for a 30x reduction in memory footprint, allowing large-scale RAG workloads on standard hardware.
DuckDB-HNSW-ACORN is a critical upgrade that transforms DuckDB into a top-tier vector database for metadata-heavy RAG applications. ACORN-1 pushes SQL WHERE clauses directly into the HNSW graph traversal, ensuring high recall even with highly restrictive filters that usually break standard ANN indexes. RaBitQ 1-bit quantization achieves massive memory efficiency, enabling millions of high-dimensional vectors to fit in RAM with minimal precision loss. Deep optimizer integration automatically rewrites complex metadata joins and grouped nearest-neighbor queries into optimized vector operations, effectively eliminating the need for external vector databases in local-first workflows while supporting standard distance metrics via DuckDB SQL syntax.
DISCOVERED
12d ago
2026-03-30
PUBLISHED
12d ago
2026-03-30
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