Definition
Retrieval-Augmented Generation is an architecture that enhances the capabilities of large language models by first retrieving relevant information from external data sources and then using that information to generate a more accurate and contextually aware response.
Why it matters (in Poovi’s context)
Dify automates the creation of RAG pipelines by allowing users to upload their own documents, enabling AI applications to answer questions based on specific, private data.
Key properties or components
- Information retrieval
- Contextual grounding
- External knowledge base
- Improved response accuracy
Contradictions or debates
None.