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
Generative AI Large Language Models Llms Data Integration Data Organization Data Retrieval Llamaindex
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What Is LlamaIndex? A Comprehensive Exploration of LLM Orchestration FrameworksIn this post, we’ll explain how LlamaIndex can be used as a framework for data integration, data organization, and data retrieval for private data Gen AI needs.
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