🗂️ Vector Search

Embedding Similarity, High-dimensional Indexing, Semantic Retrieval, ML Infrastructure

Locality-aware Concept Bottleneck Model
arxiv.org·5h
⧗Information Bottleneck
Ask HN: MCP/API search vs. vector search – what's winning for you?
news.ycombinator.com·1d·
Discuss: Hacker News
🗂️Vector Databases
The 10 Best Semantic Search APIs in 2025
shaped.ai·2d
🔍Semantic Search
Tyson Foods elevates customer search experience with an AI-powered conversational assistant
aws.amazon.com·11h
📡RSS Automation
Compute Where It Counts: a trainable LLM sparsity enabling 4x CPU speed
crystalai.org·14h·
Discuss: Hacker News
🌊Streaming Algorithms
Hyperdimensional Semantic Mapping for Automated Historical Narrative Reconstruction
dev.to·1d·
Discuss: DEV
🕸️Hypertext Archaeology
Show HN: Building a web search engine from scratch (a reply to Wilson Lin)
medium.com·2d·
Discuss: Hacker News
🔍BitFunnel
Understanding Data Influence with Differential Approximation
arxiv.org·5h
🧠Machine Learning
The AI Building Block You’ve Never Heard Of (But Use Every Day)
hackernoon.com·1d
🔗Parser Combinators
MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation
arxiv.org·5h
🔍Search Indexing
DianJin-OCR-R1: Enhancing OCR Capabilities via a Reasoning-and-Tool Interleaved Vision-Language Model
arxiv.org·1d
🤖Advanced OCR
Quantifying Baseball Pitch Tunneling with K-Nearest Neighbors
runningonnumbers.com·1d·
Discuss: Hacker News
🌀Differential Geometry
Diving Deep: K-Fold Cross-Validation
dev.to·2d·
Discuss: DEV
📐Vector Dimensionality
Reinforcement Learning to Rank Using Coarse-grained Rewards
arxiv.org·5h
📊Search Ranking
KnowDR-REC: A Benchmark for Referring Expression Comprehension with Real-World Knowledge
arxiv.org·5h
🔗Parser Combinators
UniECS: Unified Multimodal E-Commerce Search Framework with Gated Cross-modal Fusion
arxiv.org·1d
🔍Information Retrieval
Efficient Constraint-Aware Flow Matching via Randomized Exploration
arxiv.org·1d
🎯Performance Proofs
On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks
arxiv.org·5h
🧠Machine Learning
Fed-Meta-Align: A Similarity-Aware Aggregation and Personalization Pipeline for Federated TinyML on Heterogeneous Data
arxiv.org·2d
🌐Federated Search
CoDiEmb: A Collaborative yet Distinct Framework for Unified Representation Learning in Information Retrieval and Semantic Textual Similarity
arxiv.org·3d
🧮Vector Embeddings