🎯 Retrieval Systems - matmat

📝Document Chunking Blog Discussion

tildalice.io·

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

🧱Immutable Infrastructure Discussion

news.ycombinator.com··Hacker News

Building Semantic Search with Transformers.js and Sentence Embeddings

🧮Vector Embeddings

machinelearningmastery.com·

Quiz: Embeddings and Vector Databases With ChromaDB

🧮Vector Embeddings

realpython.com·

MongoDB as a Vector Database for AI Agents-MongoDB

🧮Vector Embeddings

foojay.io·

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

🔍Semantic Search Academic

biorxiv.org·

RohiRIK/OpenLtm: Long-Term Memory plugin for Claude Code — semantic search, context injection, session learning

🧮Vector Embeddings Code

github.com··Hacker News, r/SideProject, r/mcp, r/vibecoding

Hybrid Search for RAG: Fix Retrieval Accuracy in AI

🧮Vector Embeddings Blog

pingcap.com·

I built a free extension that adds shared folders + search across ChatGPT, Claude and Gemini

🔄Sync Engine

foldery.app··r/chrome_extensions

Codebase Indexing Is Back in Kilo Code

🧮Vector Embeddings Blog

blog.kilo.ai·

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

🧮Vector Embeddings

drive.google.com··Hacker News

Redis for Agent Memory

🧮Vector Embeddings Blog

rephrase-it.com·

Best practices for building a modern app with vector search

🔍Search Indexing Blog

elastic.co·

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)

📄Semantic Chunking Academic

arxiv.org·

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

🔍Search Indexing Blog

elastic.co·

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 Code

github.com··DEV

Rayforce

🔍Semantic Search Code

github.com··Lobsters, Hacker News

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

Understanding HNSW: The Engine Behind Fast Vector Search

How to Build an Agentic RAG with RubyLLM and Rails

LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks

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

Building Semantic Search with Transformers.js and Sentence Embeddings

Quiz: Embeddings and Vector Databases With ChromaDB

MongoDB as a Vector Database for AI Agents-MongoDB

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

RohiRIK/OpenLtm: Long-Term Memory plugin for Claude Code — semantic search, context injection, session learning

Hybrid Search for RAG: Fix Retrieval Accuracy in AI

I built a free extension that adds shared folders + search across ChatGPT, Claude and Gemini

Codebase Indexing Is Back in Kilo Code

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

Redis for Agent Memory

Best practices for building a modern app with vector search

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)

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

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.

Rayforce