Vector Search

Embeddings, Similarity Search, Approximate Nearest Neighbors, Semantic Matching

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Scoured 140 posts in 10.4 ms

10 MCP servers to connect LLMs with databases

 🔍Search Indexing
infoworld.com·

Hashtag Jakarta EE #336

 🗄️Vector Databases
agilejava.eu·

Best practices for building a modern app with vector search

 🔍Search  Content type: Blog
elastic.co·

When More Cores Hurts: The Vector Database Scaling Paradox in HPC

 🗄️Vector Databases  Content type: Academic
arxiv.org·

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

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

 📡Observability  Content type: Discussion

Most AI code reviewers are just expensive diff readers.

 🗄️Vector Databases  Content type: Code
github.com··r/SideProject

Show HN: Ext-Infer

 🗄️Vector Databases

Hybrid Search for RAG: Fix Retrieval Accuracy in AI

 🗄️Vector Databases  Content type: Blog
pingcap.com·

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

 📡Observability

Meta's smart glasses companion app ships a complete, dormant face-recognition pipeline on a stock account.

 📌Embedding Retrieval
buchodi.com··Hacker News

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

 🔍Search  Content type: Blog
elastic.co·

Using protein language models for pangenome construction

 🔍Vector Search Algorithms  Content type: Academic
biorxiv.org·

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

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

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

 Performance
devops.com·

Async Rust Meets Async Python: How Daft runs... by Colin Ho, Srinivas Lade

 Async Programming  Content type: Video
youtube.com·

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

 🗂️Vector Indexes  Content type: Academic
arxiv.org·

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

 🗄️Vector Databases  Content type: Discussion

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

 📌Embedding Retrieval  Content type: Code

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

 🗄️Vector Databases  Content type: Discussion

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