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AI Engineering / Working with LLMsEmbeddings & Vector Databases

12 items

1

Vector DB vs Traditional DB

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2

Euclidean and Dot Product

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3

Text vs Multimodal Embeddings

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4

Semantic Similarity Intuition

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5

How Embeddings Are Generated

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6

What a Vector Database Is

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7

Embedding Dimensionality

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8

Nearest Neighbor Search (KNN)

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9

Cosine Similarity

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10

Approximate Nearest Neighbor (ANN)

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11

What Embeddings Are

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12

Vector Indexing (HNSW, IVF)

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Approximate Nearest Neighbor (ANN)

ANN trades a little accuracy for dramatically faster similarity search at scale.

Question

What is Approximate Nearest Neighbor (ANN) search and why use it?

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