🧮 Vector Databases - micaleel · Scour

Embeddings & Vector Search 🔍Retrieval Systems

taoofmac.com·5d

BoomHQ: Learning to Boost Multiple Hybrid Queries on Vector DBMSs 🔍Retrieval Systems

HNSW Explained: The Algorithm Powering Fast Vector Search 🔍Retrieval Systems

neuml/txtai: 💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows 💬Natural Language Processing

AI 101: What’s So Magical About Embeddings? 🛠️Feature Engineering

turingpost.com·23h

面向云端之外的AI代理的便携式向量数据库 🦆DuckDB

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

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

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

fmtdev.dev·23h·DEV

[ASAP] Predicting Peptide Aggregation with Protein Language Model Embeddings 🛠️Feature Engineering

Diagnosing protein sequence search in the era of language models 🤖Transformers

biorxiv.org·1h

What it takes to transpose a matrix (2024) 🔨LLVM

gudok.xyz·18h·Lobsters, Hacker News

Building with Gemini Embedding 2: Agentic multimodal RAG and beyond 🤖Transformers

developers.googleblog.com·2h

Qdrant’s AI vector search is faster, auditable and more available 🔍Retrieval Systems

blocksandfiles.com·2d

What are embeddings? 🔍Retrieval Systems

vickiboykis.com·4d

Effective KV Compression with TurboQuant 📦Parquet

machinelearningmastery.com·8h

Blog/2026-04-27/Fuzzy Wiki Search 🔍Retrieval Systems

wiki.roshangeorge.dev·2d

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

·15h

Preconditioning Vectors: Making Elasticsearch VectorDB Better Binary Quantization work for every vector 🔍Retrieval Systems

When AI Agent Memory Outgrows SQLite: How to Tell, and What to Move to Next 📦Parquet

pingcap.com·1h

I built PII masking and semantic search directly into Polars DataFrames 📊Data Science

omna.dev·1d·Hacker News

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