AI Architecture Algorithms Embeddings Machine Learning RAG Retrieval-Augmented Generation

HNSW Vector Search Explained: The Shortcut Graph Behind Fast Retrieval

HNSW vector search is one of the quiet constraints behind a useful RAG system. A support assistant with a few hundred document chunks can compare a question with every chunk. At millions of vectors, that simple approach turns every question into a large numerical scan. Hierarchical Navigable Small World graphs, usually shortened to HNSW, offer […]

AI Architecture AI automation AI performance Artificial Intelligence Classification LLM Software Architecture

How Jev Works: The Parallel Decision Model That Skips Token-by-Token JSON

Quick summary Typed decisions: Jev evaluates declared questions in parallel and returns bounded answers instead of generating a JSON string token by token. Keep questions narrow: Define one judgement per field and let application code combine the results. Validate on your own data: Type safety does not guarantee correctness; test accuracy, confidence and review thresholds […]

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