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# Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat

**[AWS](https://daily.dev/sources/aws)** · 12 min read · 1 upvotes · 0 comments

## Summary

Learn how to build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat. Explore the capabilities of Llama 2-70B-Chat and LlamaIndex to create powerful Q&A applications. Deploying and testing Llama 2-Chat using SageMaker JumpStart. Use LlamaIndex to build a RAG and integrate it with LangChain for powerful and versatile LLM applications.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://aws.amazon.com/blogs/machine-learning/build-knowledge-powered-conversational-applications-using-llamaindex-and-llama-2-chat/>

---

Tags: [#llama](https://daily.dev/tags/llama), [#aws-sagemaker](https://daily.dev/tags/aws-sagemaker), [#rag](https://daily.dev/tags/rag)

[View this post on daily.dev](https://daily.dev/posts/build-knowledge-powered-conversational-applications-using-llamaindex-and-llama-2-chat-n48ygbxfr)

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