Vector Search Algorithms

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Scoured 45 posts in 10.3 ms

How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)

 📌Embedding Retrieval
buy.polar.sh··DEV

Rayforce

 📌Embedding Retrieval  Content type: Code

Elasticsearch simdvec deep-dive: Walking the memory tightrope to 2x better vector throughput

 🔍Search Indexing  Content type: Blog
elastic.co·

Cloudian closes gap between enterprise AI ambitions and messy production deployments

 📌Embedding Retrieval  Content type: News
blocksandfiles.com·

Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering

 📇Vector Indexing  Content type: Academic
arxiv.org·

shoo99/paper-rag: A private, fully-local RAG over your own PDFs: BGE-M3 + embedded Qdrant + a local LLM via Ollama. ~150 lines, nothing leaves your machine.

 📌Embedding Retrieval  Content type: Code
github.com··DEV

Ex-DeepMind duo raise $20 million to close the gap between what sales teams know and what they actually do

 🎯Vector Search
thenextweb.com·

GoodQ02/goodq4all: Local-first multimodal epistemic memory for scene-level video, audio, and text intelligence.

 📦In-process Databases  Content type: Code
github.com··Hacker News

ColBERTSaR: Sparsified ColBERT Index via Product Quantization

 🔎Inverted Index  Content type: Academic
arxiv.org·

Tired of GitHub Trending being GitHub-only, so we made a multi-forge version (GitLab and Codeberg included)

 ⚙️Compilers

ASH: Asymmetric Scalar Hashing With Learned Dimensionality Reduction for High-Fidelity Vector Quantization

 🗂️Vector Indexes  Content type: Academic
arxiv.org·

The Team Behind Deploy: Shipping AI, the DigitalOcean Way

 📌Embedding Retrieval  Content type: Blog
digitalocean.com·

I wondered how big platforms detect stolen images. So I built the whole system myself.

 📌Embedding Retrieval  Content type: Code

Ex-DeepMind researchers, including Indian-origin Cambridge alum, raise $20M for Airspeed to turn revenue teams' insights into action — TFN

 📌Embedding Retrieval
techfundingnews.com·

aayush4vedi/drift-spark: Spark-native embedding lifecycle- produce, CDC refresh, model-migrate, audit.

 📌Embedding Retrieval  Content type: Code
github.com··Hacker News

Puffin-Backed Vector Indexes: Attaching Approximate Nearest Neighbor Indexes to Apache Iceberg Snapshots for Compute-Disaggregated Query Engines

 🧊Iceberg  Content type: Academic
arxiv.org·

Designing Memory for a Minimal Rust Coding Agent, Without a Vector Store

 📌Embedding Retrieval

AIchain Skill: A Prompt as a Reusable Object

 📌Embedding Retrieval  Content type: Code
github.com··DEV

LLM-Guided ANN Index Optimization for Human-Object Interaction Retrieval

 📌Embedding Retrieval  Content type: Academic
arxiv.org·

ANN Search: Recall What Matters

 📏ANN Benchmarks  Content type: Academic
arxiv.org·

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