The four steps of retrieval-augmented generation: Ingestion of the internal documents into a vector database. This step may require a lot of data cleaning, formatting, and chunking, but this is a ...

We perform a similarity search on this vector using a SQL query. Similarity, or specifically cosine similarity, is a way to find the vectors in our database that are nearest to the vector query.