Embedding & Vector Stores: Notes
Posted: | Categories: tech | Tags: Embeddings, GenAI, LLMs, Vector Stores
Embedding & Vector Stores What are Embeddings? Low-dimensional numerical representation of almost anything (text, audio, images, video). A lossy compression technique: mapping complex data into simpler space while retaining semantic meaning. Enables pattern recognition — embeddings capture semantic similarity and underlying meaning. Useful for efficient large-scale processing. Think of it as: “encoding meaning in vector form.” Use Cases Retrieval & Recommendation systems. Search engines: precompute embeddings for billions of pages, convert search query to embedding, find nearest neighbours in vector space. Read more...