Tim Faulkes, a developer advocate at Aerospike, introduces vector databases, a solution for storing and searching millions of vectors. He explains vectors as lists of floating-point numbers used in semantic search, with an example of finding houses based on floor and land area. The HNSW algorithm, a scalable approach for vector databases, is discussed, along with Aerospike's implementation for fast retrieval and scalability.