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Scoured 24750 posts in 22.4 ms
How to Build Vector Search From Scratch in Python  🗂️Vector Search
kdnuggets.com·3d·Hacker News
CCD-Level and Load-Aware Thread Orchestration for In-Memory Vector ANNS on Multi-Core CPUs  🚀SIMD Text Processing
arxiv.org·5h
Agentic Vector Databases: The Next Evolution of AI Memory and Retrieval  🚀SIMD Text Processing
medium.com
·2d
dbyter/sphere-embed: Visualize embeddings and LLM relationships on a sphere's surface  🌀Riemannian Computing
github.com·1d·Hacker News
A polynomial autoencoder beats PCA on transformer embeddings  📐Vector Dimensionality
ivanpleshkov.dev·6d·Hacker News
Better Search, Smaller Models: Why Retrieval Quality Beats Model Size  🎯Retrieval Systems
hackernoon.com·1d
FAVOR: Efficient Filter-Agnostic Vector ANNS Based on Selectivity-Aware Exclusion Distances  🗂️Vector Search
arxiv.org·1d
Beyond Similarity Search: A Unified Data Layer for Production RAG Systems  ⏳Temporal Databases
arxiv.org·6d
Topic Is Not Agenda: A Citation-Community Audit of Text Embeddings  🧮Vector Embeddings
arxiv.org·1d
dtour: a steerable tour de vis through high-dimensional data  🗂️Vector Search
arxiv.org·5d
FastOmniTMAE: Parallel Clause Learning for Scalable and Hardware-Efficient Tsetlin Embeddings  🚀SIMD Text Processing
arxiv.org·1d
EGA: Adapting Frozen Encoders for Vector Search with Bounded Out-of-Distribution Degradation  🗂️Vector Search
arxiv.org·4d
GATHER: Convergence-Centric Hyper-Entity Retrieval for Zero-Shot Cell-Type Annotation  🧮Vector Embeddings
arxiv.org·4d
Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction  🔍Information Retrieval
arxiv.org·4d
Exploring Clustering Capability of Inpainting Model Embeddings for Pattern-based Individual Identification  🔍Vector Forensics
arxiv.org·5d
Graph Neural Network based Hierarchy-Aware Embeddings of Knowledge Graphs: Applications to Yeast Phenotype Prediction  🕸️Graph Embeddings
arxiv.org·6d
TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding  🧮Vector Embeddings
arxiv.org·5d
AdaGATE: Adaptive Gap-Aware Token-Efficient Evidence Assembly for Multi-Hop Retrieval-Augmented Generation  🎯Retrieval Systems
arxiv.org·4d
A Mean Curvature Approach to Boundary Detection: Geometric Insights for Unsupervised Learning  🌀Differential Geometry
arxiv.org·5d
CAR: Query-Guided Confidence-Aware Reranking for Retrieval-Augmented Generation  🔍Information Retrieval
arxiv.org·5d

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