Discover how Salesforce tackled real-time file processing challenges without relying on pre-indexing and much more!

The Salesforce Engineering Blog offers a deep dive into Salesforce technologies, providing technical insights, best practices, and real-world examples. Developers can explore topics such as Salesforce development, architecture, and integrations, gaining  knowledge to build innovative solutions on the Salesforce platform. With contributions from Salesforce engineers and industry experts, the blog serves as a resource for the Salesforce community.

Salesforce Engineering

Salesforce engineering team built real-time multimodal AI capabilities for Prompt Builder that process PDFs, images, and documents without pre-indexing. The system handles 50 million daily file uploads through a unified architecture serving both Data Cloud and non-Data Cloud customers. Key innovations include a real-time file processing pipeline with base64 conversion, a compatibility abstraction layer for multiple LLM providers (OpenAI, Gemini, Anthropic), and partial grounding validation that processes files independently rather than failing entire workflows. The solution unlocks file-based business data for AI agents, enabling use cases like automated document field extraction, insurance claim assessments, and case attachment summarization.

Building Real-Time Multimodal AI Pipelines