AI/TLDR — New AI Releases Daily: Models, Tools, Repos & PapersA high-volume feed of new AI releases — models, open-source repos, developer tools, papers, datasets, and benchmarks — refreshed every 8 hours. Each release is explained in plain English so you actually understand what shipped.This site uses JavaScript to render the interactive feed. Enable JavaScript, or visit the source repo for the raw JSON.

AI/TLDR

Embeddings & Vector Databases

Turning meaning into math — embeddings, similarity search, and every major vector store.

Embeddings Explained

What a vector of meaning is and how to pick the model that makes them.

BEGINNERWhat Are Embeddings? Vectors That Capture Meaning INTERMEDIATEHow Embedding Models Are Trained

Similarity Search & Indexing

Cosine vs dot product, ANN, HNSW — the math and indexes behind fast retrieval.

BEGINNERWhat Is Semantic Search? Finding Meaning, Not Keywords INTERMEDIATEWhat Is Approximate Nearest Neighbor Search?

Vector Database Guides

One page per major vector store: pgvector, Pinecone, Qdrant, Weaviate, Chroma, Milvus, FAISS.

BEGINNERWhat Is a Vector Database? (and When You Actually Need One)INTERMEDIATEPinecone vs Weaviate vs Qdrant vs Chroma

Vectors in Production

Choosing, filtering, syncing, and scaling vector search in real systems.

BEGINNERHow to Choose a Vector Database: A Decision Framework INTERMEDIATEWhat Is Hybrid Search?