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LlamaIndex: A Framework for Data Integration in Generative AI Applications

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Generative AI,Large Language Models,Llms

Learn how LlamaIndex can be used as a framework for integrating, organizing, and retrieving private data in generative AI applications.

With the rapid integration of generative AI into the application development process, there is a growing need to integrate private data with public data used to train large language models (LLMs). However, most private data is unstructured, siloed, and not readily accessible by LLMs.

LlamaIndex offers an orchestration framework for building LLM apps that can ingest and query private data, making it a valuable solution for data integration, organization, and retrieval in generative AI applications

 

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