What is vector indexing and how does it relate to Fast Indexing APIs?

Vector indexing involves representing data as numerical vectors (embeddings) and storing them in a specialized index. This allows for similarity search – finding data points that are 'close' to a given query vector. Fast Indexing APIs like Pinecone and Weaviate excel at vector indexing, enabling applications like semantic search, recommendation systems, and anomaly detection.