Retrieval Augmented Generation
RAG AI for Unstructured Enterprise Data
Accelerate and operationalize RAG with a full-stack AI development platform for no- or low-code RAG application workflows, model evaluations, training, fine-tuning, and inference.
RAG made easy, without sacrificing scale or security
Save time and money on RAG AI
Get started with RAG in minutes or hours instead of months with a full-stack AI platform and instant access to leading LLMs
RAG-ready infrastructure for enterprise scale
Prepare and embed data, evaluate LLMs of your choice, vectorize data for easy retrieval with RAG prompts, and centralize governance and security
Maximize the value of your unstructured data
Use out-of-the-box RAG AI workflows to quickly develop conversational search experiences that power unprecedented insights from enterprise data
Close the gap between data and insights with RAG
Easily evaluate LLMs (compare, analyze) to choose the right models for your use cases, or easily stitch together multiple LLMs for applications.
Shared AI resource library for AI models, annotations, datasets, workflows, including RAG prompters, to streamline development workflows.
Use Clarifai’s full-stack AI platform to integrate data sources, prepare and index data for vectorization, improve searchability of enterprise data, and secure access.
Deploy Clarifai on-prem or in your VPC so that data can stay where it is for model training, fine-tuning and inference.
Scale your AI with confidence
Clarifai was built to simplify how developers and
teams create, share, and run AI at scale
Establish an AI Operating Model and get out of prototype and into production
Build a RAG system in 4 lines of code
Make sense of the jargon around Generative AI with our glossary
Build your next AI app, test and tune popular LLMs models, and much more.
