MC08: LlamaIndex: Retrieval-Augmented Generation (RAG)

Explore how LlamaIndex enables the development of powerful Retrieval-Augmented Generation (RAG) applications by connecting large language models with external data and knowledge sources.

In this session, participants will learn the fundamentals of RAG, understand how LlamaIndex manages and retrieves relevant information, and build practical workflows that improve the accuracy and relevance of LLM-generated responses.

Key topics include data ingestion, indexing, retrieval, query pipelines, and integrating LlamaIndex with LLM applications.

Part of AI Residency

Join the Cohort 12 , Starting Oct 10 th
https://decodingdatascience.com/airesidency