🔍 Retrieval Systems - micaleel · Scour

Embeddings & Vector Search 🧮Vector Databases

taoofmac.com·5d

Retrieval-Augmented Generation (RAG) Systems with Claude 🎯Recommender Systems

·1d

On pgvectorscale, and Hybrid Search Without an Elasticsearch Sidecar 🧮Vector Databases

thebuild.com·7h

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

github.com·50m

CroSearch-R1: Better Leveraging Cross-lingual Knowledge for Retrieval-Augmented Generation 🧮Vector Databases

Building with Gemini Embedding 2: Agentic multimodal RAG and beyond 🤖Transformers

developers.googleblog.com·12h

What are embeddings? 🧮Vector Databases

vickiboykis.com·4d

Diagnosing protein sequence search in the era of language models 🧮Vector Databases

biorxiv.org·10h

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

fmtdev.dev·1d·DEV

AI 101: What’s So Magical About Embeddings? 🧮Vector Databases

turingpost.com·1d

(PR) QNAP Unveils QAI-h1290FX Edge AI Storage Server 🚀Model Serving

techpowerup.com·17h

When RAG Isn’t Enough: Moving from Retrieval to Relationship-Aware Systems in Enterprise AI: 🛠️Feature Engineering

techcommunity.microsoft.com·6d

HNSW Explained: The Algorithm Powering Fast Vector Search 🧮Vector Databases

When AI Agent Memory Outgrows SQLite: How to Tell, and What to Move to Next 📦Parquet

pingcap.com·10h

How to Build a Self-Learning RAG System with Knowledge Reflection 🧮Vector Databases

freecodecamp.org·6d

[ASAP] Predicting Peptide Aggregation with Protein Language Model Embeddings 🧮Vector Databases

面向云端之外的AI代理的便携式向量数据库 🧮Vector Databases

RAG precision tuning can quietly cut retrieval accuracy by 40%, putting agentic pipelines at risk 🛠️Feature Engineering

venturebeat.com·3d

Securing RAG pipelines in enterprise SaaS 🛠️Feature Engineering

csoonline.com·2d

Show HN: Local RAG Pipeline with Weaviate and Ollama 🚀Model Serving

storyblok.com·3d·Hacker News

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