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RAGBooster

RAGBooster improves the performance of retrieval-based large language models by learning which data sources are important to retrieve high quality data.

We provide an example notebook that shows how we boost RedPajama-INCITE-Instruct-3B-v1, a small LLM with 3 billion parameters to be on par with OpenAI's GPT3.5 (175 billion parameters) in a question answering task by using Bing websearch and ragbooster:

Furthermore, we have an additional example notebook, where we demonstrate how to boost a tiny qa model to get within 5% accuracy on GPT3.5 on a data imputation task:

Core classes

At the core of RAGBooster are RetrievalAugmentedModels, which fetch external data to improve prediction quality. Retrieval augmentation requires two components:

  • A retriever, which retrieves external data for a prediction sample. We currently only implement a BingRetriever, which queries Microsoft's Bing Websearch API.
  • A generator, which generates the final prediction from the prediction sample and the external data. This is typically a large language model. We provide the Generator interface, which makes it very easy to leverage LLMs available via an API, for example from OpenAI.

Once you defined your retrieval-augmented model, you can leverage RAGBooster to boost its performance by learning the data importance of retrieval sources (e.g., domains in the web). This often increases accuracy by a few percent.

Background

Have a look at our paper on Improving Retrieval-Augmented Large Language Models with Data-Centric Refinement for detailed algorithms, proofs and experimental results.

Installation

RAGBooster is available as pip package, and can be installed as follows:

pip install ragbooster

Installation for Development

  • Requires Python 3.9 and Rust to be available
  1. Clone the repository: git clone git@github.com:amsterdata/ragbooster.git
  2. Change to the project directory: cd ragbooster
  3. Create a virtualenv: python3.9 -m venv venv
  4. Activate the virtualenv source venv/bin/activate
  5. Install the dev dependencies with pip install ".[dev]"
  6. Build the project maturin develop --release
  • Optional steps:
    • Run the tests with cargo test --release
    • Run the benchmarks with RUSTFLAGS="-C target-cpu=native" cargo bench
    • Run linting for the Python code with flake8 python
    • Start jupyter with jupyter notebook and run the example notebooks

Metadata

Release files for ragbooster 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for ragbooster 0.1.1
File
ragbooster-0.1.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl PyPy 3.10 PyPy 3.10 7.3 Linux glibc 2.17+ x86-64 Details
ragbooster-0.1.1-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.whl PyPy 3.10 PyPy 3.10 7.3 Linux glibc 2.12+ x86-32 Details
ragbooster-0.1.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl PyPy 3.9 PyPy 3.9 7.3 Linux glibc 2.17+ x86-64 Details
ragbooster-0.1.1-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl PyPy 3.9 PyPy 3.9 7.3 Linux glibc 2.17+ IBM System/390x Details
ragbooster-0.1.1-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl PyPy 3.9 PyPy 3.9 7.3 Linux glibc 2.17+ PowerPC 64-le Details
ragbooster-0.1.1-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl PyPy 3.9 PyPy 3.9 7.3 Linux glibc 2.17+ ARMv7l Details
ragbooster-0.1.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl PyPy 3.9 PyPy 3.9 7.3 Linux glibc 2.17+ ARM64 Details
ragbooster-0.1.1-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.whl PyPy 3.9 PyPy 3.9 7.3 Linux glibc 2.12+ x86-32 Details
ragbooster-0.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ x86-64 Details
ragbooster-0.1.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ IBM System/390x Details
ragbooster-0.1.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ PowerPC 64-le Details
ragbooster-0.1.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ ARM64 Details
ragbooster-0.1.1-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.whl CPython 3.12 CPython 3.12 Linux glibc 2.12+ x86-32 Details
ragbooster-0.1.1-cp311-none-win_amd64.whl CPython 3.11 none Windows x86-64 Details
ragbooster-0.1.1-cp311-none-win32.whl CPython 3.11 none Windows x86-32 Details
ragbooster-0.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details
ragbooster-0.1.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ IBM System/390x Details
ragbooster-0.1.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ PowerPC 64-le Details
ragbooster-0.1.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ ARMv7l Details
ragbooster-0.1.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ ARM64 Details
ragbooster-0.1.1-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.whl CPython 3.11 CPython 3.11 Linux glibc 2.12+ x86-32 Details
ragbooster-0.1.1-cp311-cp311-macosx_11_0_arm64.whl CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details
ragbooster-0.1.1-cp311-cp311-macosx_10_7_x86_64.whl CPython 3.11 CPython 3.11 macOS 10.7+ x86-64 Details
ragbooster-0.1.1-cp310-none-win_amd64.whl CPython 3.10 none Windows x86-64 Details
ragbooster-0.1.1-cp310-none-win32.whl CPython 3.10 none Windows x86-32 Details
ragbooster-0.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details
ragbooster-0.1.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ IBM System/390x Details
ragbooster-0.1.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ PowerPC 64-le Details
ragbooster-0.1.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ ARMv7l Details
ragbooster-0.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ ARM64 Details
ragbooster-0.1.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl CPython 3.10 CPython 3.10 Linux glibc 2.12+ x86-32 Details
ragbooster-0.1.1-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details
ragbooster-0.1.1-cp310-cp310-macosx_10_7_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.7+ x86-64 Details
ragbooster-0.1.1-cp39-none-win_amd64.whl CPython 3.9 none Windows x86-64 Details
ragbooster-0.1.1-cp39-none-win32.whl CPython 3.9 none Windows x86-32 Details
ragbooster-0.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64 Details
ragbooster-0.1.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ IBM System/390x Details
ragbooster-0.1.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ PowerPC 64-le Details
ragbooster-0.1.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ ARMv7l Details
ragbooster-0.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ ARM64 Details
ragbooster-0.1.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl CPython 3.9 CPython 3.9 Linux glibc 2.12+ x86-32 Details
ragbooster-0.1.1-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details
ragbooster-0.1.1-cp39-cp39-macosx_10_7_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.7+ x86-64 Details

Total release size: 40.7 MB

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