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24 lines
871 B
Markdown
24 lines
871 B
Markdown
# Advanced RAG
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**What is RAG?**
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Retrieval augmented generation (RAG) is a natural language processing (NLP) technique that employes the capabilities of retrieval and generative based AI models.
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**What is Naive RAG?**
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Naive RAG often refers to splitting documents into chunks, embedding them, and retrieving chunks based on semantic similarity search to a user question.
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It's simple, but of poor overall performance.
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**That's why we need Advanced RAG.**
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In this tutorials (Advanced RAG), we will learn the techniques and best practices in RAG application development, that can improve the quality of the RAG.
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It's crucial to the success of a RAG application.
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## Episodes
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1. [RAG on Semi-structured data](./01_semi_structured_data.ipynb)
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2. [Multi-Modal RAG](./02_multi_modal.ipynb)
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3. [Multi-Document RAG with LlamaIndex](./03_llama_index_multi_doc_agent.ipynb)
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