🎯 Qdrant - emschwartz · Scour

Embeddings & Vector Search 🎯Vector Search

taoofmac.com·5d

Qdrant’s AI vector search is faster, auditable and more available 📊Vector Databases

blocksandfiles.com·2d

On pgvectorscale, and Hybrid Search Without an Elasticsearch Sidecar 🐘pgvector

thebuild.com·4h

DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces 📉Embeddings Optimization

Qdrant boosts performance, reliability to meet AI needs 🏗️LLM Infrastructure

·1d

Vector Database 📊Vector Databases

newsletter.systemdesign.one

·5d

Qdrant Cloud launches high-performance vector database features for AI workloads 🇨🇳Chinese AI

siliconangle.com·2d

qdrant/fastembed: Fast, Accurate, Lightweight Python library to make State of the Art Embedding 🎨ChromaDB

github.com·2d·Hacker News

Preconditioning Vectors: Making Elasticsearch VectorDB Better Binary Quantization work for every vector 🎯Vector Quantization

HNSW Explained: The Algorithm Powering Fast Vector Search 🗂️Vector Indexes

pgvector vs Pinecone: You Probably Don't Need a Separate Vector Database 🐘pgvector

Icemap/duckdb-vector-index: A DuckDB extension providing HNSW, IVF, DiskANN, and SPANN vector indexes with FLAT, RaBitQ, PQ, and ScaNN quantizers for approximate nearest-neighbor search on ARRAY columns. 🗂️Vector Indexes

github.com·1d·Hacker News

Reducing Redundancy in Retrieval-Augmented Generation through Chunk Filtering 🎯Retrieval Systems

FerresDB is now open-source – A high-performance vector database 🚀LanceDB

github.com·3d·Hacker News

TurboQuant: A First-Principles Walkthrough 🔬RaBitQ

taoofmac.com·3d

ADE: Adaptive Dictionary Embeddings -- Scaling Multi-Anchor Representations to Large Language Models 🎯Embedding Models

MauroCE/m3serve: Optimised BAAI/bge-m3 serving with dense + sparse + ColBERT embeddings, async dynamic batching and pipeline GPU inference 📦Batch Embeddings

github.com·3d·r/SideProject

Improving Robustness of Tabular Retrieval via Representational Stability 🔍Information Retrieval

Beyond N-gram: Data-Aware X-GRAM Extraction for Efficient Embedding Parameter Scaling 🎨Chroma

Large-Scale Data Parallelization of Product Quantization and Inverted Indexing Using Dask 🔍Vector Search Algorithms

Log in to enable infinite scrolling