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AgentForce for Developers, Salesforce’s latest developer productivity tool, is turning heads with its AI-driven capabilities. Here’s everything you need to know:

1. Built on ChatGPT?

No, AgentForce for developers runs on Salesforce’s own AI models. For chat-based interactions, it uses xGen, and for autocompletion, lightweight models step in.

2. Training on Customer Data?

No. Salesforce ensures data privacy by exclusively using internal data and interactions for training.

3. Knowledge Base Integration?

While still in its early stages, AgentForce is being fine-tuned to provide answers based on existing knowledge base content and documentation.

4. What is RAG?

Retrieval Augmented Generation (RAG) enhances relevance by indexing metadata locally, storing it in a vector database, and matching it to user queries to generate precise responses.

5. Cogen or xGen?

Cogen handles lightweight tasks like autocompletion, while xGen manages complex scenarios requiring greater computational power.

6. Full Schema Awareness?

Yes, it has access to your org’s entire schema, making it highly context-aware.

7. Current Limitations?

AgentForce is optimized for code generation within the Salesforce ecosystem, such as Apex and LWC, but is less effective outside this context.

8. Access to All Salesforce Documentation?

Not yet, but future updates aim to include non-developer documentation.

Salesforce is pushing the boundaries of developer productivity with AgentForce.

Stay tuned as this powerful tool evolves!