Shypd.aiThe largest open index of AI toolsRAG-Driven-Generative-AI is an open-source coding & development tool that provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI. It leverages LlamaIndex, Deep Lake, and Pinecone with OpenAI and Hugging Face models.
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RAG-Driven-Generative-AI is a comprehensive open-source repository offering programs to construct Retrieval Augmented Generation (RAG) code for Generative AI applications. It integrates powerful frameworks and databases such as LlamaIndex, Deep Lake, and Pinecone, while also utilizing models from OpenAI and Hugging Face for both generation and evaluation. This resource provides a roadmap for building effective LLM, computer vision, and generative AI systems, focusing on balancing performance and costs. It delves into designing, managing, and controlling multimodal AI pipelines, emphasizing how RAG improves output accuracy and contextual relevance by connecting outputs to traceable source documents. The repository includes practical knowledge on vector stores, chunking, indexing, and ranking, along with techniques to optimize project performance and understand data better, including adaptive RAG, human feedback, and dynamic RAG.
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