AI Engineering / Working with LLMs
Embeddings & Vector Databases
12 lessons in AI Engineering / Working with LLMs
- Embedding DimensionalityFlashcard
- How Embeddings Are GeneratedFlashcard
- Euclidean and Dot ProductFlashcard
- What Embeddings AreFlashcard
- Nearest Neighbor Search (KNN)Flashcard
- Cosine SimilarityFlashcard
- Semantic Similarity IntuitionFlashcard
- Vector DB vs Traditional DBFlashcard
- What a Vector Database IsFlashcard
- Approximate Nearest Neighbor (ANN)Flashcard
- Vector Indexing (HNSW, IVF)Flashcard
- Text vs Multimodal EmbeddingsFlashcard