🔍 semantic search - heysamtexas · Scour

Vector Databases for Developers (With a Simple Python Example)

dev.to·1d·

Discuss: DEV

*META‑Discover: An Automated Knowledge‑Graph‑Driven Pipeline for Emergent Topological Invariants in High‑Dimensional Random Simplicial Complexes*

freederia.com·14h

SemPipes -- Optimizable Semantic Data Operators for Tabular Machine Learning Pipelines

arxiv.org·1d

Open source USearch library jumpstarts ScyllaDB vector search

thenewstack.io·1d

Actualización de embeddings en producción con LangChain + pgvector

platform.openai.com·1d·

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Crafting the Eyes for Thinking Machines: The “White Box” VLM

pub.towardsai.net·5h

**Abstract:** Accurate and efficient genomic variant prioritization is a critical bottleneck in precision medicine and drug discovery. Traditional methods re...

freederia.com·20h

Solving NYT Pips with DLX

github.com·3h·

Discuss: Hacker News

Hamming Distance for Hybrid Search in SQLite

notnotp.com·2d

Improving atlas-scale single-cell annotation models with hierarchical cross-entropy loss

nature.com·22h

ML-LIB: Machine Learning Library Proposed For The Linux Kernel

phoronix.com·13h·

Discuss: Hacker News

Clifford Kolmogorov-Arnold Networks

arxiv.org·1d

Writing an LLM from scratch, part 32d -- Interventions: adding attention bias

gilesthomas.com·8h·

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Continual learning and the post monolith AI era

baseten.co·10h·

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Understanding LLM Inference Engines: Inside Nano-vLLM (Part 2)

neutree.ai·18h·

Discuss: Hacker News

News for January 2026

ptreview.sublinear.info·1d

Kotlin Symbol Processing: создаём свой процессор

habr.com·18h

Is Your Machine Learning Pipeline as Efficient as it Could Be?

kdnuggets.com·19h

Logistic Regression, Average Marginal Effects, and the Linear Probability Model - Part II: Coefficients and AMEs of nested models

elff.eu·17h

Vector Search Metrics: Why Your "Distance" Might Be Wrong

dev.to·1d·

Discuss: DEV

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