GURPREETKAURJETHRA/Advanced_RAG
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 , Agents.
This project helps AI developers build sophisticated applications that can answer complex questions by accessing external knowledge. It takes raw text or data and user queries, processes them through various advanced techniques, and outputs highly contextualized and accurate responses. The primary users are AI/ML engineers and data scientists responsible for creating intelligent systems that leverage large language models.
105 stars. No commits in the last 6 months.
Use this if you are an AI developer looking to build or enhance a question-answering system that needs to provide highly accurate and context-aware responses by integrating external data sources.
Not ideal if you are looking for a plug-and-play solution for end-users, or if you do not have a strong understanding of large language models and retrieval systems.
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105
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27
Language
Jupyter Notebook
License
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Last pushed
May 01, 2024
Commits (30d)
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