Data augmentation with LlamaIndex
Practical AI
Integrating External Data for LLMs
This chapter explores the crucial role of data ingestion in integrating external data with language model applications, focusing on tools like Lama Hub that offer over 90 data connectors. It discusses the process of indexing unstructured data within the LlamaIndex framework, emphasizing how different indices can optimize query retrieval. The chapter also highlights practical applications, particularly in financial data analysis, showcasing how LlamaIndex enhances query capabilities for complex datasets.
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