Purpose of Agentforce Data Library
Key Takeaway
An Agentforce Data Library grounds AI features, such as Agentforce agents, in your organization's trusted content. When you create one, Salesforce automatically builds a working retrieval augmented generation (RAG) solution.
An Agentforce Data Library connects AI features, such as Agentforce agents, to your organization's trusted content, so their answers are based on your information. When you create a data library, Salesforce automatically builds the pieces needed for RAG, so you don't have to connect them by hand.
Why a data library exists: grounding and RAG
A data library exists to improve accuracy, add personalization, and build trust in generative AI responses. It does this through grounding.
Many LLMs were trained on static, publicly available internet content. RAG adds accurate, up-to-date, proprietary facts to the prompt, without retraining or fine-tuning the model. A data library is the fastest way to set up RAG.