Enterprise RAG | Unlock Knowledge, Accelerate Decisions with Fireworks AI

What this post added

This post details the application of Fireworks AI's platform to enterprise Retrieval-Augmented Generation (RAG) systems. It highlights the technical components involved in building RAG assistants, including fine-tuned embeddings, scalable re-ranking, multi-modal embeddings, long-context reasoning, and GPU autoscaling for low-latency, high-throughput inference. The post also mentions specific performance improvements like 4X faster processing, 4X cost efficiency, 5-7X higher order value, and sub-500ms transcription latency, and references a case study with DoorDash demonstrating high query throughput.