🗂️ Vector Databases - tyler · Scour

Embeddings & Vector Search 🔍RAG

taoofmac.com·5d

AI 101: What’s So Magical About Embeddings? 📊Machine Learning

turingpost.com·1d

On pgvectorscale, and Hybrid Search Without an Elasticsearch Sidecar 🌸Bloom Filters

thebuild.com·7h

iamabhishek-n/vectra-js: A production-ready, provider-agnostic Node.js SDK for End-to-End RAG (Retrieval-Augmented Generation) pipelines. 🎥WebRTC

github.com·33m

DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces 📊Machine Learning

Building with Gemini Embedding 2: Agentic multimodal RAG and beyond 🔍RAG

developers.googleblog.com·11h

What are embeddings? 📊Machine Learning

vickiboykis.com·4d

Qdrant’s AI vector search is faster, auditable and more available 🌸Bloom Filters

blocksandfiles.com·2d

HNSW Explained: The Algorithm Powering Fast Vector Search 📈Query Optimization

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

neuml/txtai: 💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows 🔍RAG

github.com·11h

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

Preconditioning Vectors: Making Elasticsearch VectorDB Better Binary Quantization work for every vector 📊Machine Learning

Qdrant Cloud launches high-performance vector database features for AI workloads 📡RSS

siliconangle.com·2d

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

fmtdev.dev·1d·DEV

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

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

面向云端之外的AI代理的便携式向量数据库 🧠AI

Gte-go – my over-optimized embedding model 🔍RAG

rcarmo.github.io·3d·Hacker News

Qdrant boosts performance, reliability to meet AI needs 💬Prompt Engineering

·1d

I built PII masking and semantic search directly into Polars DataFrames 🐛Fuzzing

omna.dev·1d·Hacker News

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