Vector Search Algorithms

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Scoured 25 posts in 7.6 ms

HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS β€” and what it costs

Β πŸ“‡Vector Indexing Β Content type: Blog
elastic.coΒ·

Understanding HNSW: The Engine Behind Fast Vector Search

 🎯Vector Search
chimchim89.github.ioΒ·

HNSW-MS: Hierarchical Graph Indexing Enables Accurate Real-Time Mass Spectral Similarity Search at Repository Scale

Β πŸ“ANN Benchmarks Β Content type: Academic
biorxiv.orgΒ·

Puffin-Backed Vector Indexes: Attaching Approximate Nearest Neighbor Indexes to Apache Iceberg Snapshots for Compute-Disaggregated Query Engines

 🧊Iceberg  Content type: Academic
arxiv.orgΒ·

New comment by yorktanaka2024 in "Ask HN: Who wants to be hired? (June 2026)"

Β πŸ•ΈοΈWeb Development Β Content type: Discussion

Rayforce

Β πŸ“ANN Benchmarks Β Content type: Code
github.comΒ·Β·Lobsters, Hacker News
Less-relevant results

Enterprises Are Quietly Moving Their AI Back On-Premises. Here Is Why.

 🎯Vector Search  Content type: Blog
medium.comΒ·

Postgres 19 Beta 1 is here

Β πŸ—„οΈDatabases
postgresweekly.comΒ·

An ode to self-optimizing query plans

 🎯Vector Search
jpountz.github.ioΒ·Β·Lobsters

I wondered how big platforms detect stolen images. So I built the whole system myself.

Β πŸ—„οΈDatabases Β Content type: Code
github.comΒ·Β·r/sideprojects

AI Agent Mastery & Coaching

Β πŸ€–AI Agents
ruv.ioΒ·

Full Observability for Pinecone: Introducing an Open-Source Monitoring Stack for SaaS and BYOC

 🎯Vector Search  Content type: Blog
pinecone.ioΒ·

Aperon Technical Report: Hierarchical No-Pointer Tangent-Local Search for High-Dimensional Approximate Nearest Neighbors

 🎯Vector Search  Content type: Academic
arxiv.orgΒ·

Using protein language models for pangenome construction

Β πŸ“ŒEmbedding Retrieval Β Content type: Academic
biorxiv.orgΒ·

GoodQ02/goodq4all: Local-first multimodal epistemic memory for scene-level video, audio, and text intelligence.

Β πŸ™‹User Agency Β Content type: Code
github.comΒ·Β·Hacker News

Elasticsearch simdvec deep-dive: Walking the memory tightrope to 2x better vector throughput

Β πŸ“‡Vector Indexing Β Content type: Blog
elastic.coΒ·

ASH: Asymmetric Scalar Hashing With Learned Dimensionality Reduction for High-Fidelity Vector Quantization

Β πŸ“‰Embeddings Optimization Β Content type: Academic
arxiv.orgΒ·

luckyrmp/tinderbox-archive: Personal claude.ai conversation archive: schema, ingest, embeddings, hybrid retrieval, MCP server

 🎯Vector Search  Content type: Code
github.comΒ·Β·Hacker News

Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering

Β πŸ“‡Vector Indexing Β Content type: Academic
arxiv.orgΒ·

wallidsaydi-creator/hom-local: HOM Local β€” open-source local-first AI memory kernel

Β πŸ™‹User Agency Β Content type: Code
github.comΒ·Β·Hacker News

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