Beyond the Buzzwords: Making Sense of Vectors, Embeddings, and Similarity Search
pub.towardsai.net·1d
🔧Feature Engineering
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Novel idea in vector search: Wormhole vectors
dmitry-kan.medium.com·12h
🔀Transformers
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Efficient Curvature-aware Graph Network
arxiv.org·8h
🕸️Graph Databases
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[P] triplet-extract: GPU-accelerated triplet extraction via Stanford OpenIE in pure Python
🔀Transformers
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Semantic search with embeddings in JavaScript: a hands-on example using LangChain and Ollama
🔀Transformers
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Embedding Atlas: Low-Friction, Interactive Embedding Visualization
machinelearning.apple.com·1d
🔧Feature Engineering
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Dense vs Sparse vs Multi-Vector Embeddings Explained: What Every AI Engineer Should Know
pub.towardsai.net·8h
🔀Transformers
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The Case Against PGVector
⚡Query Optimization
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The Infrastructure of Modern Ran king Systems, Part 2: The Data Layer - Fueling the Models with Feature and Vector Stores
shaped.ai·1d
🔧Feature Engineering
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Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models
arxiv.org·8h
🤖ML
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Semantic search with embeddings in PHP: a hands-on guide using Neuron AI and Ollama
🔀Transformers
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Fast Answering Pattern-Constrained Reachability Queries with Two-Dimensional Reachability Index
arxiv.org·8h
⚡Query Optimization
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We found embedding indexing bottleneck in the least expected place: JSON parsing
⚡Query Optimization
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Efficient Test-Time Retrieval Augmented Generation
arxiv.org·8h
🔀Transformers
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
🔀Transformers
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Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks
journals.aps.org·13h
🤖AI
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