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πŸ“Š Multi-vector RAG

Information Retrieval, Dense Passage Retrieval, Document Ranking, Embedding Fusion

Text-to-Remote-Sensing-Image Retrieval beyond RGB Sources
arxiv.orgΒ·21h
πŸ“ΈTIFF Archaeology
Categorical Features: The Backbone of Search & Recs Engineering
shaped.aiΒ·1d
🧠Learned Indexing
Stop Saying RAG Is Dead
hamel.devΒ·1dΒ·
Discuss: Hacker News
πŸ“šMARC Evolution
Using DuckDB for Embeddings and Vector Search – Random Thoughts
blog.brunk.ioΒ·1d
πŸ—‚οΈVector Databases
Translation using deep neural networks – Transformer
aamster.github.ioΒ·1dΒ·
Discuss: Hacker News
🧠Neural Codecs
Overview of the TREC 2023 deep learning track
arxiv.orgΒ·21h
πŸ”Information Retrieval
A New Breed of Chatbots Are Quietly Changing Product Management
hackernoon.comΒ·1d
πŸŒ€Brotli Internals
Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale
arxiv.orgΒ·21h
πŸ“‹Document Grammar
Ambiguity-Aware and High-Order Relation Learning for Multi-Grained Image-Text Matching
arxiv.orgΒ·21h
πŸ€–Advanced OCR
Next-Gen Q&A: Retrieval-Augmented AI with Chroma Vector Store
dev.toΒ·4dΒ·
Discuss: DEV
πŸ“Parsing Grammars
Introducing Amazon S3 Vectors: First cloud storage with native vector support at scale (preview)
aws.amazon.comΒ·2hΒ·
Discuss: Hacker News
πŸ—‚οΈVector Databases
A comprehensive study of LLM-based argument classification: from LLAMA through GPT-4o to Deepseek-R1
arxiv.orgΒ·1d
πŸ€–Grammar Induction
Automating Deep Learning: A Gentle Introduction to AutoKeras and Keras Tuner
towardsdatascience.comΒ·8h
πŸ“ŠQuantization
Spatial Lifting for Dense Prediction
arxiv.orgΒ·21h
🧠Machine Learning
Show HN: Context Rot Technical Report – How Input Length Impacts LLM Performance
research.trychroma.comΒ·1dΒ·
Discuss: Lobsters, Hacker News
πŸ”Information Retrieval
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
arxiv.orgΒ·21h
πŸ•ΈοΈGraph Embeddings
🎯 Building Attention Mechanisms from Scratch: A Complete Guide to Understanding Transformers
dev.toΒ·1dΒ·
Discuss: DEV
πŸ“ŠLearned Metrics
Improving Multimodal Learning via Imbalanced Learning
arxiv.orgΒ·21h
πŸ“ŠLearned Metrics
Ensemble of Weak Spectral Total Variation Learners: a PET-CT Case Study
arxiv.orgΒ·1d
🧠Machine Learning
Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
arxiv.orgΒ·21h
🧠Machine Learning
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