🗂️ Vector Databases - matmat · Scour

Vector Databases Explained in 3 Levels of Difficulty 🗂️Vector Search

machinelearningmastery.com·6d·Hacker News·

Free vector search API with built-in multilingual embeddings 🗂️Vector Search

fluxvector.dev·2d·Hacker News·

r-follador/TeletextSignals: A fully local Retrieval-Augmented Generation (RAG) implementation for querying 25 years of Swiss Teletext news (500k articles in German language) 📄Text Chunking

github.com·17h·Hacker News·

Multi-Vector Search with Amélie Chatelain and Antoine Chaffin 🗂️Vector Search

connorshorten300.medium.com·2d·

PDET-LSH: Scalable In-Memory Indexing for High-Dimensional Approximate Nearest Neighbor Search with Quality Guarantees 🔍MinHash Variants

arxiv.org·6d·

New Google TurboQuant algorithm improves vector search speed 🗂️Vector Search

searchengineland.com·2d·

Semantic search in Rails using SQLite-vec, Kamal and Docker 🌀Brotli Internals

marianposaceanu.com·3d·Hacker News·

Show HN: PyNear – exact and approximate KNN, faster than Faiss 🚀SIMD Text Processing

news.ycombinator.com·4d·Hacker News·

The reason your pgvector benchmark is lying to you ⚡Performance Mythology

thenewstack.io·6d·

Hybrid Search System, glue included 🔍BitFunnel

amgix.io·4d·Hacker News·

DaiSy: A Library for Scalable Data Series Similarity Search 📏Range Queries

arxiv.org·2d·

Stop Embedding Your Entire Corpus Blindly 📄Text Chunking

decompressed.io·6d·Hacker News·

Simdxml for Python: a faster ElementTree you don't have to rewrite for 🚀SIMD Parsing

cigrainger.com·5d·Hacker News·

NeedleDB: A Generative-AI Based System for Accurate and Efficient Image Retrieval using Complex Natural Language Queries 🧮Vector Embeddings

arxiv.org·2d·

Show HN: TurboQuant for vector search 🗂️Vector Search

github.com·4d·Hacker News·

SRAG: RAG with Structured Data Improves Vector Retrieval 📊Multi-vector RAG

arxiv.org·2d·

UnWeaving the knots of GraphRAG -- turns out VectorRAG is almost enough 🧮Vector Embeddings

arxiv.org·1d·

Altor-lab/altor-vec: Client-side vector search powered by HNSW. 54KB gzipped WASM. Sub-millisecond latency. 🌀Brotli Dictionary

github.com·6d·Hacker News·

Hierarchical Tensor Network Structure Search for High-Dimensional Data 🕸️Tensor Networks

arxiv.org·2d·

TaCo: Data-adaptive and Query-aware Subspace Collision for High-dimensional Approximate Nearest Neighbor Search 🗂️Vector Search

arxiv.org·6d·

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