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SmartBuckets

With one line of code, never build a RAG pipeline again. We’ve spent a lot of time building RAG and AI systems, and honestly, the infrastructure side has always been a pain.

news.ycombinator.com 방문외부 사이트

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  1. An LLM-powered advanced RAG pipeline built from scratch

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  2. We are building Git for data

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    Today you can easily adopt AI coding tools because you have git for branching and rolling back if AI writes bad code.

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  3. fastest way to build a RAG App for your data

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  4. Distribute and run AI workloads on Kubernetes magically in Python, like PyTorch for ML infra.

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  5. This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.

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