Today’s best AI agents rely on retrieval-augmented generation (RAG) to enable more accurate results. A RAG system facilitates the use of a knowledge base to…
Today’s best AI agents rely on retrieval-augmented generation (RAG) to enable more accurate results. A RAG system facilitates the use of a knowledge base to augment context to large language models (LLMs). A typical design pattern includes a RAG server that accepts prompt queries, consults a vector database for nearest context vectors, and then redirects the query with the appended context to an…
