mickymultani/nvidia-NIM-RAG

Project demonstrates the power and simplicity of NVIDIA NIM (NVIDIA Inference Model), a suite of optimized cloud-native microservices, by setting up and running a Retrieval-Augmented Generation (RAG) pipeline.

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Emerging

This project helps developers quickly integrate a Retrieval-Augmented Generation (RAG) pipeline into their applications. It takes your text data and a user's question, then provides a relevant, AI-generated answer based on your data. This is ideal for developers building AI-powered chatbots or Q&A systems who want to leverage NVIDIA's optimized AI models.

No commits in the last 6 months.

Use this if you are a developer looking to build or enhance a generative AI application by integrating a RAG pipeline with NVIDIA Inference Models for efficient deployment.

Not ideal if you are an end-user without programming experience, as this tool requires coding knowledge and an understanding of AI development workflows.

AI-application-development chatbot-creation generative-AI AI-model-deployment question-answering-systems
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

15

Forks

5

Language

Python

License

MIT

Last pushed

Mar 21, 2024

Commits (30d)

0

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