NirDiamant/RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
Language:Jupyter Notebook
Total stars: 11009
Stars trend:
#jupyternotebook
#ai, #langchain, #llamaindex, #llm, #llms, #opeani, #python, #rag, #tutorials
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
Language:Jupyter Notebook
Total stars: 11009
Stars trend:
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#ai, #langchain, #llamaindex, #llm, #llms, #opeani, #python, #rag, #tutorials
NirDiamant/Prompt_Engineering
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essential resource for mastering the art of effectively communicating with and leveraging large language models in AI applications.
Language:Jupyter Notebook
Total stars: 3868
Stars trend:
#jupyternotebook
#ai, #genai, #llm, #llms, #opeani, #promptengineering, #python, #tutorials
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essential resource for mastering the art of effectively communicating with and leveraging large language models in AI applications.
Language:Jupyter Notebook
Total stars: 3868
Stars trend:
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#ai, #genai, #llm, #llms, #opeani, #promptengineering, #python, #tutorials
NirDiamant/RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
Language:Jupyter Notebook
Total stars: 16674
Stars trend:
#jupyternotebook
#ai, #langchain, #llamaindex, #llm, #llms, #opeani, #python, #rag, #tutorials
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
Language:Jupyter Notebook
Total stars: 16674
Stars trend:
6 Jun 2025
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#ai, #langchain, #llamaindex, #llm, #llms, #opeani, #python, #rag, #tutorials