Introduction to Facebook AI Similarity Search (Faiss) | Pinecone

Factorial Design | Definition & Examples

AI TECH SIMPLIFIED on Instagram: "What is FAISS? FAISS (Facebook AI Similarity Search) is a vectorDB that helps you quickly find “which vectors are most similar to this one?” even when you have millions or billions of vectors. Q.) Why do we even need a vector database? A.) In modern AI (LLMs, vision models): Text → converted to embeddings Images → converted to embeddings Audio → converted to embeddings A vector database lets you: Store embeddings Search nearest neighbors using cosine / L2 distan

Difference Between Artificial Intelligence vs Machine Learning vs Deep Learning - GeeksforGeeks