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AI · January 22, 2024

RF

Rag Framework

A scalable centralized embeddings platform for efficient embedding and retrieval to build RAG applications faster

Does the same job

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    A Unified Embed API2014 · embedkit.com · ▲11
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  • DA
    Demystifying Advanced RAG Pipelines2023 · github.com · ▲131

    I've built an advanced RAG (Retrieval-Augmented Generation) pipeline from scratch to demystify the complex mechanics of modern LLM-powered Question Answering systems. This repository features: -- An implementation of a sub-question query engine from scratch to answer complex user questions. -- Illustrative explanations that unveil the inner workings of the system. -- An analysis of the challenges I faced while working with the system, like prompt engineering and cost estimation. -- Qualitative comparison with similar frameworks like LlamaIndex, offering a broader perspective. Key Takeaway:…

  • ML
    Model2vec – Lightning-fast Static Embeddings for RAG/Semantic Search2024 · github.com · ▲28

    We’ve recently open-sourced Model2vec, a method to distill sentence transformers into static embeddings that outperform all previous approaches by a large margin on MTEB. Our new models set a new state-of-the-art for static embeddings. Main features: - Our best model (potion-base-8M) has only 8M parameters, which is ~30mb on disk - Inference is ~500x faster than the distilled base model (bge-base), on a CPU - New models can be distilled in 30 seconds on a CPU without requiring a dataset - just a vocabulary - Numpy-only inference: The packaged can be install the package with minimal…

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