Embeddings

Vector databases, embedding models, and similarity search

1.

Embedding Types WIP

Sparse, Dense, Quantized, Binary, Variable Dimensions, and Multi-Vector embeddings

2.

Vector Search Algorithms WIP

Approximate Nearest Neighbors (ANN), HNSW, IVF, and PQ for vector databases

3.

Qdrant WIP

Vector database for similarity search and embeddings