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RAG is more than Vector Search
dev.toยท16hยท
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๐Ÿ—‚๏ธVector Search
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3 Feature Engineering Techniques for Unstructured Text Data
machinelearningmastery.comยท20h
๐Ÿ“Text Embeddings
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RAG Isn't a Vector Search Problem
softwaredoug.comยท2dยท
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๐Ÿ—‚๏ธVector Search
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Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models
arxiv.orgยท2d
โš™๏ธCompression Benchmarking
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Point to Span: Zero-Shot Moment Retrieval for Navigating Unseen Hour-Long Videos
arxiv.orgยท1d
๐Ÿ—‚๏ธVector Search
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Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit
arxiv.orgยท1d
๐Ÿ“Text Embeddings
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Friday 16 January 2026 - 11am
informatics.ed.ac.ukยท2d
๐Ÿ—ฃ๏ธCMU Pronouncing
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Topology Identification and Inference over Graphs
arxiv.orgยท1d
๐Ÿ•ณ๏ธPersistent Homology
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LLM-Powered Relevance Assessment for Pinterest Search
medium.comยท2d
๐Ÿ”Information Retrieval
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Self-Ensemble Post Learning for Noisy Domain Generalization
arxiv.orgยท1d
๐ŸŽงLearned Audio
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RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning
arxiv.orgยท2d
๐Ÿ”Information Retrieval
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Regression Is All You Need
blog.tilderesearch.comยท1dยท
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๐Ÿง Machine Learning
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Building a RAG Server with PostgreSQL โ€“ Part 3: Deploying Your RAG API
pgedge.comยท1dยท
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๐Ÿ”„Archival Workflows
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Hybrid Search in Apache Solr is NOW Production-Ready (with 1024D vectors!)
dev.toยท3dยท
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๐Ÿ—‚๏ธVector Search
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Visualization Generation with Large Language Models: An Evaluation
arxiv.orgยท1d
๐Ÿš€SIMD Text Processing
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Advancing Text Classification with Large Language Models and Neural Attention Mechanisms
arxiv.orgยท2d
๐Ÿ“Text Embeddings
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RAG Showdown: Elasticsearch vs MongoDB
dev.toยท2dยท
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๐Ÿ“šMARC Evolution
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Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning
arxiv.orgยท1d
โง—Information Bottleneck
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Boosting RL-Based Visual Reasoning with Selective Adversarial Entropy Intervention
arxiv.orgยท1d
๐Ÿ”ฒCellular Automata
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