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RAG with Langchain, Ollama Llama3, and HuggingFace Embedding | Complete Guide
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In this video, I'll show you how to create a powerful Retrieval-Augmented Generation (RAG) system using LangChain, Llama 3, and HuggingFace Embeddings. You'll learn how to make a Large Language Model (LLM) understand and answer questions about a complex PDF document.
➡️Chapters:
0:00 Introduction
2:25 Setting up the Environment
5:25 Setting Up LangChain
7:20 Chunking Large Documents
11:40 vector stores
12:30 HuggingFace Embedding
14:32 Retrieval QA
17:10 Run the chain
18:58 Conclusion
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🔗 Links
#langchain #ollama #llama3 #RetrievalAugmentedGeneration #huggingface
➡️Chapters:
0:00 Introduction
2:25 Setting up the Environment
5:25 Setting Up LangChain
7:20 Chunking Large Documents
11:40 vector stores
12:30 HuggingFace Embedding
14:32 Retrieval QA
17:10 Run the chain
18:58 Conclusion
🔔 Subscribe for more tutorials and hit the notification bell to stay updated with the latest content!
🔗 Links
#langchain #ollama #llama3 #RetrievalAugmentedGeneration #huggingface
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