Repository Vector Search Methods
The emergence of Large Language Models (LLM) has propelled Generative AI and surfaced one of its key components to a broad audience: Embeddings.
Embeddings are a vector representation of data in a high-dimensional space capturing their semantic meaning. Vector representations allow for more efficient and effective search (Vector Search) of similar items. Vector search is typically used to build Retrieval-augmented generation (RAG) systems and so there is demand for vector databases.
While new vector databases are on the rise, existing database engines are gradually incorporating vector search…