sachink1729/DSPy-Multi-Hop-Chain-of-Thought-RAG
Discover advanced AI techniques in my repository combining Multi-Hop Chain of Thought (CoT) and Retrieval-Augmented Generation (RAG) using DSPy and Indexify. Enhance complex problem-solving with multi-step reasoning and external knowledge integration. Perfect for AI enthusiasts and researchers.
This project helps AI enthusiasts and researchers develop advanced AI models that can solve complex, multi-step problems. It takes in a complex query and a knowledge base, then processes the query through multiple reasoning steps, enhanced by external information retrieval. The output is a well-reasoned, accurate answer that addresses the complexity of the original problem.
No commits in the last 6 months.
Use this if you are an AI enthusiast or researcher looking to improve the answer quality of your AI models by integrating multi-step reasoning with external knowledge retrieval.
Not ideal if you are looking for a plug-and-play solution for a business problem and are not familiar with advanced AI development concepts like Chain of Thought or RAG.
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20
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Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jul 31, 2024
Commits (30d)
0
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