Fundamentals · Hard · Free
What are embeddings? Search by meaning example.
FresherFundamentalsAI & Machine Learning Basics
Embeddings
Dense vectors represent meaning—similar sentences have close cosine distance. Enables semantic search over docs.
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similarity = cosine(embed("refund policy"), embed("how do I get money back"))Pair embeddings with vector DB (pgvector, Pinecone).