Retrieval Augmented Generation explained for Beginners | RAG in LLMs
1:42:57
YouTubeGreat Learning
Retrieval Augmented Generation explained for Beginners | RAG in LLMs
In this video, we'll explain LLMs and RAG, covering key components like retrieval and generation. Further, we'll demonstrate the RAG workflow in practice. and understand practical applications and challenges like hallucinations. We will dive into a hands-on with RAG implementation using LangChain. From importing libraries to detailed ...
4.7K viewsAug 3, 2024
Retrieval-augmented Generation Explained
RAG explained !! RAG (Retrieval-Augmented Generation) controls how AI systems find and use information before generating answers. It combines information retrieval with text generation so models don’t rely only on training data. It includes document ingestion, chunking, embeddings, vector databases, similarity search, and context injection. Good RAG design improves accuracy, relevance, trust, and scalability, and significantly reduces hallucinations. With RAG, you control what data the AI can ac
2:22
RAG explained !! RAG (Retrieval-Augmented Generation) controls how AI systems find and use information before generating answers. It combines information retrieval with text generation so models don’t rely only on training data. It includes document ingestion, chunking, embeddings, vector databases, similarity search, and context injection. Good RAG design improves accuracy, relevance, trust, and scalability, and significantly reduces hallucinations. With RAG, you control what data the AI can ac
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Retrieval-Augmented Generation (RAG) Explained | FAISS, LangChain, Fine-Tuning (بالتونسي) | Rayen Marzouk
Retrieval-Augmented Generation (RAG) Explained | FAISS, LangChain, Fine-Tuning (بالتونسي) | Rayen Marzouk
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What is retrieval-augmented generation (RAG)?
What is retrieval-augmented generation (RAG)?
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