Step-by-Step Information to RAG with LangChain, LangGraph, and Ollama | DeepSeek R1, QWEN, LLAMA, FAISS, Doclings, VectorDB
What you’ll study
Perceive RAG Ideas: Be taught the fundamentals of Retrieval-Augmented Technology (RAG) and the way it enhances AI techniques by combining retrieval and era.
Work with LangChain and LangGraph: Grasp the usage of LangChain and LangGraph to construct AI workflows and combine instruments seamlessly.
Construct Good RAG Methods: Create clever and adaptive RAG techniques utilizing strategies like agentic, corrective, adaptive, and self-improving strategies.
Deploy AI in Manufacturing: Achieve the talents to deploy RAG-based AI options successfully utilizing instruments like Streamlit and AWS EC2.
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