KalyanKS-NLP/rag-zero-to-hero-guide

Comprehensive guide to learn RAG from basics to advanced.

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This guide helps developers understand and implement Retrieval Augmented Generation (RAG) systems. It provides detailed explanations, practical examples, and tools for building RAG applications from scratch or with frameworks. You'll learn how to feed various data sources into a large language model and get accurate, contextually relevant outputs.

1,271 stars. No commits in the last 6 months.

Use this if you are a developer looking to build or improve AI applications by integrating external knowledge into large language models (LLMs).

Not ideal if you are a non-technical user seeking to use an existing RAG application or looking for a no-code solution.

AI development LLM engineering NLP applications data retrieval machine learning systems

Stale 6m No Package No Dependents

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1,271

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321

Language

Jupyter Notebook

License

Apache-2.0

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rag-zero-to-hero-guide and rag-all-in-one rag-zero-to-hero-guide and RAG-Overview rag-zero-to-hero-guide and RAG-Playground rag-zero-to-hero-guide and A-Guide-to-Retrieval-Augmented-LLM rag-zero-to-hero-guide and RAG

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