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ANN Benchmarks
📏 ANN Benchmarks
Specific
Recall@K, Query Latency, Index Build Time, Memory Usage
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24
posts in
7.4
ms
ANN
Search
:
Recall
What Matters
📌
Embedding Retrieval
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for ANN Search: Recall What Matters
HNSW
vs LSH: How Elasticsearch hits 0.99
recall
@10 at 15,000
QPS
— and what it costs
📇
Vector Indexing
Content type:
Blog
elastic.co
·
1d
1 day ago
Actions for HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs
Less-relevant results
Postgres 19 Beta 1 is here
🗄️
Databases
postgresweekly.com
·
20h
20 hours ago
Actions for Postgres 19 Beta 1 is here
HNSW-MS
: Hierarchical Graph
Indexing
Enables Accurate
Real-Time
Mass Spectral Similarity Search at Repository Scale
📇
Vector Indexing
Content type:
Academic
biorxiv.org
·
2d
2 days ago
Actions for HNSW-MS: Hierarchical Graph Indexing Enables Accurate Real-Time Mass Spectral Similarity Search at Repository Scale
Understanding
HNSW
: The Engine Behind Fast
Vector
Search
🎯
Vector Search
chimchim89.github.io
·
3d
3 days ago
Actions for Understanding HNSW: The Engine Behind Fast Vector Search
Introducing Azure HorizonDB - PostgreSQL
🗄️
Databases
techcommunity.microsoft.com
·
1d
1 day ago
Actions for Introducing Azure HorizonDB - PostgreSQL
Rayforce
🎯
Vector Search
Content type:
Code
github.com
·
4d
4 days ago
·
Lobsters
,
Hacker News
Actions for Rayforce
New comment by yorktanaka2024 in "Ask
HN
: Who wants to be hired? (June 2026)"
🕸️
Web Development
Content type:
Discussion
news.ycombinator.com
·
1d
1 day ago
·
Hacker News
Actions for New comment by yorktanaka2024 in "Ask HN: Who wants to be hired? (June 2026)"
An ode to self-optimizing
query
plans
🎯
Vector Search
jpountz.github.io
·
6d
6 days ago
·
Lobsters
Actions for An ode to self-optimizing query plans
I wondered how big platforms detect stolen images. So I
built
the whole system myself.
🗄️
Databases
Content type:
Code
github.com
·
1d
1 day ago
·
r/sideprojects
Actions for I wondered how big platforms detect stolen images. So I built the whole system myself.
Bridging
Multi-Vector
and Learned-Sparse Retrieval, A Diagnostic Framework for Robust Semantic IDs, and More!
📇
Vector Indexing
Content type:
News
Content type:
Blog
recsys.substack.com
·
5d
5 days ago
·
Substack
Actions for Bridging Multi-Vector and Learned-Sparse Retrieval, A Diagnostic Framework for Robust Semantic IDs, and More!
Enterprises Are Quietly Moving Their AI Back On-Premises. Here Is Why.
🎯
Vector Search
Content type:
Blog
medium.com
·
2d
2 days ago
Actions for Enterprises Are Quietly Moving Their AI Back On-Premises. Here Is Why.
Microsoft Web IQ provides AI agents with high speed web grounding
🤖
AI Agents
4sysops.com
·
6d
6 days ago
Actions for Microsoft Web IQ provides AI agents with high speed web grounding
AI Agent Mastery & Coaching
🤖
AI Agents
ruv.io
·
2d
2 days ago
Actions for AI Agent Mastery & Coaching
Aperon Technical Report: Hierarchical No-Pointer Tangent-Local
Search
for High-Dimensional
Approximate
Nearest
Neighbors
🔍
Vector Search Algorithms
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Aperon Technical Report: Hierarchical No-Pointer Tangent-Local Search for High-Dimensional Approximate Nearest Neighbors
GoodQ02/goodq4all: Local-first multimodal epistemic
memory
for scene-level video, audio, and text intelligence.
🙋
User Agency
Content type:
Code
github.com
·
2d
2 days ago
·
Hacker News
Actions for GoodQ02/goodq4all: Local-first multimodal epistemic memory for scene-level video, audio, and text intelligence.
Using protein language models for pangenome construction
📌
Embedding Retrieval
Content type:
Academic
biorxiv.org
·
3d
3 days ago
Actions for Using protein language models for pangenome construction
Full Observability for Pinecone: Introducing an Open-Source Monitoring Stack for SaaS and BYOC
🎯
Vector Search
Content type:
Blog
pinecone.io
·
1d
1 day ago
Actions for Full Observability for Pinecone: Introducing an Open-Source Monitoring Stack for SaaS and BYOC
Elasticsearch simdvec deep-dive: Walking the
memory
tightrope to 2x better
vector
throughput
📇
Vector Indexing
Content type:
Blog
elastic.co
·
5d
5 days ago
Actions for Elasticsearch simdvec deep-dive: Walking the memory tightrope to 2x better vector throughput
Puffin-Backed
Vector
Indexes
: Attaching
Approximate
Nearest Neighbor
Indexes
to Apache Iceberg Snapshots for Compute-Disaggregated Query Engines
🧊
Iceberg
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for Puffin-Backed Vector Indexes: Attaching Approximate Nearest Neighbor Indexes to Apache Iceberg Snapshots for Compute-Disaggregated Query Engines
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