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Scoured 60 posts in 10.6 ms

HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs

 🧮Vector Embeddings  Content type: Blog
elastic.co·

Understanding HNSW: The Engine Behind Fast Vector Search

 🧮Vector Embeddings
chimchim89.github.io·

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

 🗂️Vector Databases  Content type: Academic
arxiv.org·

Pinecone vs Qdrant vs Weaviate

 🗂️Vector Databases  Content type: Blog
rephrase-it.com·

HNSW-MS: Hierarchical Graph Indexing Enables Accurate Real-Time Mass Spectral Similarity Search at Repository Scale

 🔍Semantic Search  Content type: Academic
biorxiv.org·

Rayforce

 🔍Semantic Search  Content type: Code
Less-relevant results

New comment by yorktanaka2024 in "Ask HN: Who wants to be hired? (June 2026)"

 🧱Immutable Infrastructure  Content type: Discussion

MongoDB as a Vector Database for AI Agents-MongoDB

 🧮Vector Embeddings
foojay.io·

An ode to self-optimizing query plans

 🎯Retrieval Systems

How to Set Up Codebase Indexing in Kilo Code

 🧮Vector Embeddings  Content type: News  Content type: Blog
blog.kilo.ai·

Best practices for building a modern app with vector search

 🔍Search Indexing  Content type: Blog
elastic.co·

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

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

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

 🧮Vector Embeddings  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.

 🧮Vector Embeddings  Content type: Code
github.com··DEV

HARP: Efficient Data Selection for Finetuning Large Language Models

 🤖Grammar Induction  Content type: Academic
arxiv.org·

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

 🔌Offline-first Apps  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

 🧮Vector Embeddings  Content type: Academic
arxiv.org·

Most AI code reviewers are just expensive diff readers.

 🌿git  Content type: Code
github.com··r/SideProject

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

 🧮Vector Embeddings  Content type: Code

AIchain Skill: A Prompt as a Reusable Object

 🧮Vector Embeddings  Content type: Code
github.com··DEV

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