RAG-Driven-Generative-AI
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.
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This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.
What is RAG-Driven-Generative-AI?
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.
Is RAG-Driven-Generative-AI open source?
RAG-Driven-Generative-AI is an open-source project. It is released under the MIT license.
Is RAG-Driven-Generative-AI free?
Yes. RAG-Driven-Generative-AI is free and open source — you can use, modify and self-host it.
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