🎯 Embedding Models - emschwartz · Scour

Introducing the Ettin Reranker Family ✖️Cross-encoders

huggingface.co·2d·r/LocalLLaMA

The LLM Looked Smart. The Metrics Disagreed 🏆LLM Benchmarking

tiago.rio.br·3d·Hacker News

TextBoost: Boosting Text Encoder for Personalized Text-to-Image Generation 🎖Text Quality Models

Building an Agentic Healthcare Retrieval System Using QQL and Qdrant 🏗️Search Infrastructure

pub.towardsai.net

·22h

Building Vector Similarity Search in PostgreSQL with Pgvector 🐘pgvector

machinelearningmastery.com·2d·Hacker News

How I Built a RAG System With a 7-Million-Node Knowledge Graph (And Why Vector Search Alone Isn't Enough) 🚀LanceDB

github.com·3d·DEV, Hacker News

Embedding models are coordinate systems. What silently breaks in production RAG 📊Embeddings

internals.laxmena.com·1d·Hacker News

Vector databases are the wrong abstraction 🐘pgvector

news.ycombinator.com·4d·Hacker News

Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings with 32K Context — Best Sub-100M Retrieval Quality 🎨Chroma

huggingface.co·6d

RECIPE: Procedural Planning via Grounding in Instructional Video 🪄Prompt Engineering

What Matters in Production RAG 📇Indexing Strategies

arpitbhayani.me·3d·Hacker News

superlinked/sie: Superlinked Inference Engine is an Open-source inference server and production cluster for embeddings, reranking, and extraction. 🏗️LLM Infrastructure

github.com·6d·Hacker News

Build a GenAI-Powered Question & Answer Generator with LangChain, Groq, and FAISS 🔤Tokenization

pub.towardsai.net

·2d

Geometry-Aware Uncertainty Coresets for Robust Visual In-Context Learning in Histopathology 📊Embeddings

A VERY lightweight open web-search tool for smaller local LLMs 🔎Meilisearch

github.com·6d·Hacker News, r/LocalLLaMA

DSAA: Dual-Stage Attribute Activation for Fine-grained Open Vocabulary Detection ⭐Content Scoring

I Built a Production-Grade AI Search Engine on a 20GB Laptop (No Cloud Required) 🔍FAISS

pub.towardsai.net

·1d

Granite Embedding Multilingual R2 Models 🎨Chroma

ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World 📝Text Embeddings

VectorSmuggle: Steganographic Exfiltration in Embedding Stores and a Cryptographic Provenance Defense 🗜️Vector Compression

arxiv.org·6d·Hacker News

Log in to enable infinite scrolling