RAG / search enhancement generation
RAG retrieves relevant content from external data before generation, and then hands the data and questions to the model to supplement the context.
Read article ↗has 52 introductory entries, starting from word units, computing power going overseas, and word units going overseas, covering models, reasoning, API billing and global delivery.
RAG retrieves relevant content from external data before generation, and then hands the data and questions to the model to supplement the context.
Read article ↗
Let’s go to sea together ↗