HNSW: Hierarchical Navigable Small World

Posted on Mon 05 October 2026 in AI / Machine Learning

What is HNSW?

HNSW (Hierarchical Navigable Small World) — is a graph-based algorithm used for fast approximate nearest neighbor (ANN) search. It is widely used in vector databases and AI applications to quickly find vectors that are most similar to a given query.

When an AI system stores thousands or millions …

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HNSW Vector Search Embeddings Similarity Search

Ever Wonder How AI "Remembers" Things? Meet FAISS

Posted on Thu 09 July 2026 in AI Engineering

Have You Ever Asked a Chatbot a Question and Been Amazed It Found the Right Answer Instantly?

From thousands of documents, almost instantly — the exact right piece of information. Ever wondered how that actually works under the hood?

The answer often involves a tool called FAISS. It sounds technical, but …

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FAISS vector search AI embeddings