🎯 Vector Databases - nmarshall · Scour

Embeddings & Vector Search 🔍RAG

taoofmac.com·5d

RAG Vector Distance Calculator | Cosine Similarity & Euclidean Distance 🐻‍❄️Polars

fmtdev.dev·22h·DEV

High-dimensional Semi-supervised Classification via the Fermat Distance 🐻‍❄️Polars

AI 101: What’s So Magical About Embeddings? 📱Edge AI

turingpost.com·22h

Qdrant’s AI vector search is faster, auditable and more available 🏗️AI Infrastructure

blocksandfiles.com·2d

What are embeddings? 📱Edge AI

vickiboykis.com·4d

HNSW Explained: The Algorithm Powering Fast Vector Search 🌳B-Trees

Retrieval-Augmented Generation (RAG) Systems with Claude 🔍RAG

·14h

Preconditioning Vectors: Making Elasticsearch VectorDB Better Binary Quantization work for every vector 🐻‍❄️Polars

I made my C++ vector search engine 16x faster by changing data layout, not the algorithm ⚡SIMD Optimization

dubeykartikay.com·4d·Hacker News, r/cpp, r/programming

DiRe-RAPIDS: Topology-faithful dimensionality reduction at scale 🐻‍❄️Polars

BoomHQ: Learning to Boost Multiple Hybrid Queries on Vector DBMSs ⏱️Time-series Optimization

DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces 🐻‍❄️Polars

Geometric Analysis of Self-Supervised Vision Representations for Semantic Image Retrieval 🔍RAG

Efficient Listwise Reranking with Compressed Document Representations 🔍RAG

The Rashomon Effect for Visualizing High-Dimensional Data 📊Scientific Visualization

Improving Robustness of Tabular Retrieval via Representational Stability 🔍RAG

Assessing the impact of dimensionality reduction on clustering performance -- a systematic study 🐻‍❄️Polars

ragR: Retrieval-Augmented Generation and RAG Assessment in R 🔍RAG

MMEB-V3: Measuring the Performance Gaps of Omni-Modality Embedding Models 🔍RAG

Log in to enable infinite scrolling