A comprehensive guide to becoming a RAG specialist, covering everything from foundational Python programming to advanced RAG implementations and optimization techniques. The roadmap includes practical
tools, frameworks, and best practices for building effective RAG systems while addressing common challenges.
Reasons to Read -- Learn:
structured, step-by-step roadmap for becoming a RAG specialist, complete with specific tools and libraries like LangChain, Hugging Face, and LlamaIndex that are essential for implementation.
how to address common RAG challenges such as irrelevant retrievals and hallucinations through specific techniques like improved chunking, hybrid retrieval approaches, and context compression.
advanced RAG concepts including agentic RAG systems and multi-modal RAG, along with practical evaluation metrics and optimization strategies using tools like RAGAS and LangSmith.
3 min readauthor: Himanshi
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