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Using the most unhinged AVX-512 instruction to make fastest phrase search algo

What We Learned from a Year of Building with LLMs (Part II)

Vector DB Comparison

Matryoshka and Binary vectors: Slash vector search costs with Vespa

Only 64 Bytes per Embedding

KDD Cup 2024 – Comprehensive RAG Benchmark

Introduction to Sentence Embeddings

Hugging Face is launching an open source robotics project

Contrastive Representations Provably Enable Planning and Inference

Foundations of Vector Retrieval (Sebastian Bruch)

Improving Text Embeddings with Large Language Models

Search.vespa.ai