🧮 Vector Databases - queenrose54 · Scour

Embeddings & Vector Search 🔄MLOps

taoofmac.com·5d

AI 101: What’s So Magical About Embeddings? 🔄MLOps

turingpost.com·1d

On pgvectorscale, and Hybrid Search Without an Elasticsearch Sidecar 🌐Distributed Systems

thebuild.com·7h

iamabhishek-n/vectra-js: A production-ready, provider-agnostic Node.js SDK for End-to-End RAG (Retrieval-Augmented Generation) pipelines. 📈Prometheus

github.com·39m

DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces 🧠DeepSeek

Diagnosing protein sequence search in the era of language models 🔄MLOps

biorxiv.org·10h

What are embeddings? 🔄MLOps

vickiboykis.com·4d

Building with Gemini Embedding 2: Agentic multimodal RAG and beyond 🔄MLOps

developers.googleblog.com·11h

HNSW Explained: The Algorithm Powering Fast Vector Search 🔄MLOps

Effective KV Compression with TurboQuant 📈Prometheus

machinelearningmastery.com·17h

Qdrant’s AI vector search is faster, auditable and more available 📈Prometheus

blocksandfiles.com·2d

Preconditioning Vectors: Making Elasticsearch VectorDB Better Binary Quantization work for every vector 📈Prometheus

LLM Quantization ⛓️Langchain

huggingface.co·5h·Hacker News

When AI Agent Memory Outgrows SQLite: How to Tell, and What to Move to Next 🔄MLOps

pingcap.com·10h

Retrieval-Augmented Generation (RAG) Systems with Claude 🔌Claude Plugins

·1d

Rethinking Personalization for the Agent Era, Semantic Recall for Vector Search, and More! 🔄MLOps

recsys.substack.com

(PR) QNAP Unveils QAI-h1290FX Edge AI Storage Server ☁️Serverless

techpowerup.com·17h

RAG Vector Distance Calculator | Cosine Similarity & Euclidean Distance 💾Databases

fmtdev.dev·1d·DEV

Recipe of the Month: Ella Hall's Corn Bread (circa 1920s-1940s?) 🦀Rust

blogs.lib.umich.edu·54m

Possible 2026: AI is marketing’s Stradivarius. But ‘the violin can’t play itself.’ 📈Prometheus

thecurrent.com·18h

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