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Filtered Vector Search: What Acorn Fixes, and What Fixes Acorn

Hacker News Top · 2026-08-15 Cached

The article discusses ACORN's algorithm for fixing filtered vector search challenges and compares it with Qdrant's filterable HNSW method, including performance benchmarks on a million-point dataset.

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HyphaeDB: A Living Knowledge Topology for Agent-First Memory

arXiv cs.AI · 2026-06-30 Cached

HyphaeDB is a novel agent-native memory infrastructure that repurposes the HNSW graph topology as a gossip-based communication fabric for multi-agent knowledge propagation and emergent coordination, contrasting with traditional passive vector databases.

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Faster KNN search in Manticore: 2-pass HNSW, batched distances, and AVX-512

Hacker News Top · 2026-06-26 Cached

Manticore's KNN search gets up to 29% faster with 2-pass HNSW, batched distances, compile-time distance specialization, and AVX-512 support.

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KNN early termination in Manticore Search

Hacker News Top · 2026-06-03 Cached

Manticore Search introduces early termination for HNSW-based KNN vector search, reducing distance computations by up to 80% for large k values while maintaining precision within 2-4% of full search.

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