Vector Search Algorithms

Feeds to Scour
SubscribedAll
Scoured 87 posts in 6.9 ms

How I Built a Hotel AI Platform in Go (And Every Honest Technical Debt We're Carrying)

 🗄️Vector Databases  Content type: Blog
medium.com
··DEV

Show HN: Incremental RAG ingestion, only changed chunks get re-embedded

 🗄️Vector Databases  Content type: Code
github.com··Hacker News

New comment by jasonlayton4323 in "Ask HN: Who wants to be hired? (June 2026)"

 🎯Vector Search
drive.google.com··Hacker News

Postgres 19 Beta 1 is here

 🐘PostgreSQL
postgresweekly.com·

Using protein language models for pangenome construction

 🎯Vector Search  Content type: Academic
biorxiv.org·

Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX

 🔍Search  Content type: Blog
elastic.co·

The State Layer Behind Every Good AI Agent

 🔍Search  Content type: Blog
pingcap.com·

Aperon Technical Report: Hierarchical No-Pointer Tangent-Local Search for High-Dimensional Approximate Nearest Neighbors

 🎯Vector Search  Content type: Academic
arxiv.org·

AI Memory Proves Inefficient: Tenure Project Detects 95% Error Rate

 🔍Search  Content type: News
zamin.uz··Hacker News

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.

 🗄️Vector Databases  Content type: Code
github.com··DEV

Hybrid Search for RAG: Fix Retrieval Accuracy in AI

 🗄️Vector Databases  Content type: Blog
pingcap.com·

Firebase SQL Connect

 🔌API Design
firebase.google.com··Hacker News

AI Agent Mastery & Coaching

 🎯Vector Search
ruv.io·

Most AI code reviewers are just expensive diff readers.

 🎯Vector Search  Content type: Code
github.com··r/SideProject

MOTOR: Learning ID-free Item Representation with Token Crossing for Embedding-based Multimodal Recommendation

 🎯Vector Search  Content type: Academic
arxiv.org·

Agent-as-a-Code in Databricks for Production

 🗄️Vector Databases  Content type: Blog
medium.com·

The Hi-Tech Data Convergence Migration Playbook: Field Examples and How to Start

 📊Benchmarking  Content type: Blog
singlestore.com·

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

 📌Embedding Retrieval  Content type: Code
github.com··r/sideprojects

Ontologies for the Agentic Web

 🔍Search  Content type: Blog
wordlift.io·

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

 📉Embeddings Optimization  Content type: Academic
arxiv.org·

Keyboard Shortcuts

Navigation

Next / previous item
j/k
Open post
oorEnter
Preview post
v

Post Actions

Love post
a
Like post
l
Dislike post
d
Undo reaction
u
Save / unsave
s

Recommendations

Add interest / feed
Enter
Not interested
x

Go to

Home
gh
Interests
gi
Feeds
gf
Likes
gl
History
gy
Changelog
gc
Settings
gs
Browse
gb
Search
/

General

Show this help
?
Submit feedback
!
Close modal / unfocus
Esc

Press ? anytime to show this help