🗄️ Vector Databases - ghosh.debasish · Scour

Embeddings & Vector Search 📦Succinct Data Structures

taoofmac.com·5d

Geometric Analysis of Self-Supervised Vision Representations for Semantic Image Retrieval 📚RAG

AI 101: What’s So Magical About Embeddings? 🧠LLMs

turingpost.com·19h

Effective KV Compression with TurboQuant 🗄️KV Cache

machinelearningmastery.com·4h

Qdrant’s AI vector search is faster, auditable and more available 🏃Online Algorithms

blocksandfiles.com·2d

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

fmtdev.dev·19h·DEV

What are embeddings? 🧠LLMs

vickiboykis.com·4d

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

github.com·21h·r/linux

[ASAP] Predicting Peptide Aggregation with Protein Language Model Embeddings 🧠LLMs

Retrieval-Augmented Generation (RAG) Systems with Claude 📚RAG

·11h

I built PII masking and semantic search directly into Polars DataFrames 🧠Reasoning Models

omna.dev·1d·Hacker News

I made my C++ vector search engine 16x faster by changing data layout, not the algorithm 🖥️Systems Programming

dubeykartikay.com·4d·Hacker News, r/cpp, r/programming

Blog/2026-04-27/Fuzzy Wiki Search 📚RAG

wiki.roshangeorge.dev·2d

Preconditioning Vectors: Making Elasticsearch VectorDB Better Binary Quantization work for every vector 📦Succinct Data Structures

DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces 🧠LLMs

面向云端之外的AI代理的便携式向量数据库 🤖Claude

Qdrant Cloud launches high-performance vector database features for AI workloads 🌊Streaming Algorithms

siliconangle.com·2d

pgvector vs Pinecone: You Probably Don't Need a Separate Vector Database 🎲Probabilistic Data Structures

Protein Function Prediction with Pretrained ProtT5 Embeddings and Gradient Boosting 🧠LLMs

biorxiv.org·1d

Beyond the Vector Wall: Mastering GraphRAG and the 2026 Retrieval Stack 📚RAG

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