This quick explainer video shows how the process of retrieval augmented generation (RAG) helps provide people with the most up-to-date and accurate answers when they query an AI tool. You’ll get the answers to critical questions, such as:
- What are word vectors?
- How does semantic search improve AI outputs?
- How do machine-readable knowledge bases relate to RAG?
- In which industries is RAG most applicable today?
Take your understanding of RAG to the next level.
