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title: Grounded multi-doc Q&amp;A made simple with AI21 | daily.dev
description: AI21&#x27;s RAG Engine and Contextual Answers TSM simplify the process of building a retrieval augmented generation (RAG) Q&amp;A app by providing a performant and...
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# Grounded multi-doc Q&A made simple with AI21

**[Streamlit](https://daily.dev/sources/streamlit)** · 4 min read · 0 upvotes · 0 comments

## Summary

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.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.streamlit.io/ai21_grounded_multi_doc_q-a/>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#qa](https://daily.dev/tags/qa)

[View this post on daily.dev](https://daily.dev/posts/grounded-multi-doc-q-a-made-simple-with-ai21-5hdwyusbb)

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