🧮 Vector Embeddings - matmat

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

🗂️Vector Databases Code

github.com··Hacker News

Quiz: Embeddings and Vector Databases With ChromaDB

🗂️Vector Databases

realpython.com·

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

📝Text Embeddings

drive.proton.me··Hacker News

How to Set Up Codebase Indexing in Kilo Code

🗂️Vector Databases News Blog

blog.kilo.ai·

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

🗂️Vector Databases Academic

arxiv.org·

Understanding HNSW: The Engine Behind Fast Vector Search

🔍Semantic Search

chimchim89.github.io·

Full Observability for Pinecone: Introducing an Open-Source Monitoring Stack for SaaS and BYOC

🔍Semantic Search Blog

pinecone.io·

Building Semantic Search with Transformers.js and Sentence Embeddings

📐Vector Similarity

machinelearningmastery.com·

Pinecone vs Qdrant vs Weaviate

🗂️Vector Databases Blog

rephrase-it.com·

Hybrid Search for RAG: Fix Retrieval Accuracy in AI

🎯Retrieval Systems Blog

pingcap.com·

Best practices for building a modern app with vector search

🔍Search Indexing Blog

elastic.co·

Most AI code reviewers are just expensive diff readers.

🌿git Code

github.com··r/SideProject

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

🗂️Vector Databases Academic

arxiv.org·

Codebase Indexing Is Back in Kilo Code

🔍Semantic Search Blog

blog.kilo.ai·

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

🔍Search Indexing Blog

elastic.co·

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

🗂️Vector Databases Code

github.com··r/sideprojects

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

🗂️Vector Databases Code

github.com··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.

🔍Semantic Search Code

github.com··DEV

MongoDB as a Vector Database for AI Agents-MongoDB

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

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

Quiz: Embeddings and Vector Databases With ChromaDB

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

How to Set Up Codebase Indexing in Kilo Code

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

Understanding HNSW: The Engine Behind Fast Vector Search

Full Observability for Pinecone: Introducing an Open-Source Monitoring Stack for SaaS and BYOC

Building Semantic Search with Transformers.js and Sentence Embeddings

Pinecone vs Qdrant vs Weaviate

Hybrid Search for RAG: Fix Retrieval Accuracy in AI

Best practices for building a modern app with vector search

Most AI code reviewers are just expensive diff readers.

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

Codebase Indexing Is Back in Kilo Code

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

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

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

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.