Vector Search

Embeddings, Similarity Search, Approximate Nearest Neighbors, Semantic Matching

Feeds to Scour
SubscribedAll
Scoured 142 posts in 7.3 ms

Cloudian closes gap between enterprise AI ambitions and messy production deployments

 📌Embedding Retrieval  Content type: News
blocksandfiles.com·

An ode to self-optimizing query plans

 🔍Search Indexing

Best practices for building a modern app with vector search

 🔍Search Indexing  Content type: Blog
elastic.co·

Location: Lubbock, TX, USA Remote: Yes (Remote-friendly, US-based) Technologies:...

 🤖ML  Content type: Discussion

Release Release Candidate v1.6.8-rc.6 · abhigyanpatwari/GitNexus

 🗂️Vector Indexes  Content type: Code
github.com·

Hashtag Jakarta EE #336

 📌Embedding Retrieval
agilejava.eu·

Build a 'Brain' for Your AI: How to Create a Knowledge Base Chatbot Using Vector Databases

 📌Embedding Retrieval  Content type: Blog
medium.com
·

10 MCP servers to connect LLMs with databases

 🔍Search Indexing
infoworld.com·

RKSC: Reasoning-Aware KV Cache Sharing and Confident Early Exit for Multi-Step LLM Inference

 📌Embedding Retrieval  Content type: Academic
arxiv.org·

The Death of the Four Golden Signals: Designing Telemetry for Non-Deterministic Infrastructure

 📌Embedding Retrieval
devops.com·

Using protein language models for pangenome construction

 📌Embedding Retrieval  Content type: Academic
biorxiv.org·

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

 🔍Search Indexing  Content type: Blog
elastic.co·

Powering the Inference Era: Inside the DigitalOcean Data & Learning Layer

 📌Embedding Retrieval  Content type: Blog
digitalocean.com·

Most AI code reviewers are just expensive diff readers.

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

Building Semantic Search with Transformers.js and Sentence Embeddings

 📌Embedding Retrieval

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

 🔄Differential Dataflow  Content type: Discussion

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

 🗂️Vector Indexes  Content type: Academic
arxiv.org·

Location: Arlington Heights, IL, USA (Chicago Area) Remote: Yes Willing to reloc...

 🧠Query Planners  Content type: Discussion

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

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

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

 📇Vector Indexing  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