1、Cloud Market Trend Report RAGs to Riches:Using RAG and AI Data for Enterprise AI July 2025 Sponsored by:FUTURIOM.COM aryaka 2 RAGs to Riches and Enterprise AI|2025 FUTURIOM.COM Cloud Market Trend Report Highlights and Key Findings Inferencing is the heart of enterprise AI.Enterprises will still trai

2、n specialized models,but they cant reap the benefits of AI until they become experts at inference.Retrieval-Augmented Generation(RAG)is a relevant way to infuse LLMs with additional data.Thanks to larger LLM context windows,users can add quite a bit of information to a query.RAG,however,is less cost

3、ly in terms of tokens and a better way to accommodate dynamic,real-time data.Vector databases are having their moment.By storing documents,images,and other data as vectors,enterprises can use RAG to perform multimedia searches.This has led major data players such as Oracle,Databricks,and Snowflake t

4、o incorporate vector support into their products.Vector indexing and vector search are crucial database features.Any database can store vectors.But with vectors numbering in the billions for individual enterprises,its the ability to search instantly that gives vector databases their appeal.RAG spraw

5、l is an issue for early adopters.This has led to the rise of RAG-as-a-service(RaaS)and turnkey RAGcloud-based options that can abstract away the details of different RAG approaches.Agentic AI will unlock more ambitious RAG and inference.AI-driven agents can satisfy more complex queries that require

6、multiple steps.The Model Context Protocol(MCP)is accelerating the maturity of agentic AI.Its an esoteric under-the-covers protocol,but developers have leapt onto MCP as a way to make AI handle sophisticated tasks.Security is a major issue in all this.That was true with RAG and goes doubly for MCP.Th