In just a few steps, build a context-based question-answering app based on your own documents and powered by AI21’s RAG Engine and task-specific models

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AI21's RAG Engine and Contextual Answers TSM simplify the process of building a retrieval augmented generation (RAG) Q&A app by providing a performant and scalable solution. The Contextual Answers TSM offers higher accuracy, increased safety, and lower latency and cost compared to other models. The RAG Engine streamlines the pipeline for efficient document processing and supports scaling as data volume increases. This post provides step-by-step instructions for building a Q&A app powered by AI21.

Grounded multi-doc Q&A made simple with AI21

Build your own Q&A app powered by a task-specific small language model