🧮 Vector Databases - hugonoss · Scour

On pgvectorscale, and Hybrid Search Without an Elasticsearch Sidecar 🚀Performance

thebuild.com·13h

I made my C++ vector search engine 16x faster by changing data layout, not the algorithm 🚀Performance

dubeykartikay.com·5d·Hacker News, r/cpp, r/programming

DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces ⚖optimizing for consensus

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. 🔍Alternative Search

github.com·1d·Hacker News

What are embeddings? 🔗RAG

vickiboykis.com·4d

HNSW Explained: The Algorithm Powering Fast Vector Search 🚀Performance

AI 101: What’s So Magical About Embeddings? 🔗RAG

turingpost.com·1d

Preconditioning Vectors: Making Elasticsearch VectorDB Better Binary Quantization work for every vector ⚖shifting multipolar world

RAG Vector Distance Calculator | Cosine Similarity & Euclidean Distance 🔗RAG

fmtdev.dev·1d·DEV

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

面向云端之外的AI代理的便携式向量数据库 🦙Ollama

Gte-go – my over-optimized embedding model 🤖GPT4ALL

rcarmo.github.io·4d·Hacker News

Embeddings of Reproducing Kernel Hilbert Spaces with General Weights 🤖GPT4ALL

murtsu/visual_word_embeddings: Cross-lingual word embeddings trained on visual appearance alone. No tokenisation. No dictionary. Just what the word looks like. 🖼ASCII Art

github.com·1d·r/computervision, r/linux

Budget-Constrained Online Retrieval-Augmented Generation: The Chunk-as-a-Service Model 🔗RAG

Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG 🔗RAG

hexxla/hexxladb: A hex-native embedded database for Go. Morton keys, native ring scans, seams (contradictions), MVCC, provenance, and optional HNSW embeddings. Built from scratch for lattice-addressed memory. 🦙Ollama

github.com·2d·r/golang

brunokeymolen/nn20db-sdk: million-scale vector search on small devices 🚀Performance

github.com·3d·Hacker News

DiRe-RAPIDS: Topology-faithful dimensionality reduction at scale 🦙Ollama

ADE: Adaptive Dictionary Embeddings -- Scaling Multi-Anchor Representations to Large Language Models 🔗RAG

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