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
- Clone the repository:
git clone git@github.com:amsterdata/ragbooster.git - Change to the project directory:
cd ragbooster - Create a virtualenv:
python3.9 -m venv venv - Activate the virtualenv
source venv/bin/activate - Install the dev dependencies with
pip install ".[dev]" - 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 notebookand run the example notebooks
- Run the tests with
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)
Total release size: 40.7 MB
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maturin/1.1.0
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Release files / ragbooster-0.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | ragbooster-0.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 1.2 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|
Release files / ragbooster-0.1.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
| Download URL | ragbooster-0.1.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl |
|---|---|
| Size | 1.3 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ IBM System/390x |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|
Release files / ragbooster-0.1.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
| Download URL | ragbooster-0.1.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl |
|---|---|
| Size | 1.3 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ PowerPC 64-le |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|
Release files / ragbooster-0.1.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
| Download URL | ragbooster-0.1.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl |
|---|---|
| Size | 1.2 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ ARMv7l |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|
Release files / ragbooster-0.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | ragbooster-0.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|---|---|
| Size | 1.2 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ ARM64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|
Release files / ragbooster-0.1.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl
| Download URL | ragbooster-0.1.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl |
|---|---|
| Size | 1.2 MB |
| Tags | CPython 3.10 Linux glibc 2.12+ x86-32 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|
Release files / ragbooster-0.1.1-cp310-cp310-macosx_11_0_arm64.whl
| Download URL | ragbooster-0.1.1-cp310-cp310-macosx_11_0_arm64.whl |
|---|---|
| Size | 317.1 kB |
| Tags | CPython 3.10 macOS 11.0+ ARM64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|
Release files / ragbooster-0.1.1-cp310-cp310-macosx_10_7_x86_64.whl
| Download URL | ragbooster-0.1.1-cp310-cp310-macosx_10_7_x86_64.whl |
|---|---|
| Size | 326.7 kB |
| Tags | CPython 3.10 macOS 10.7+ x86-64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|
Release files / ragbooster-0.1.1-cp39-none-win_amd64.whl
| Download URL | ragbooster-0.1.1-cp39-none-win_amd64.whl |
|---|---|
| Size | 185.1 kB |
| Tags | CPython 3.9 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|
Release files / ragbooster-0.1.1-cp39-none-win32.whl
| Download URL | ragbooster-0.1.1-cp39-none-win32.whl |
|---|---|
| Size | 177.3 kB |
| Tags | CPython 3.9 Windows x86-32 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|
Release files / ragbooster-0.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | ragbooster-0.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 1.2 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|
Release files / ragbooster-0.1.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
| Download URL | ragbooster-0.1.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl |
|---|---|
| Size | 1.3 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ IBM System/390x |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|
Release files / ragbooster-0.1.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
| Download URL | ragbooster-0.1.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl |
|---|---|
| Size | 1.3 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ PowerPC 64-le |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|
Release files / ragbooster-0.1.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
| Download URL | ragbooster-0.1.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl |
|---|---|
| Size | 1.2 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ ARMv7l |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|
Release files / ragbooster-0.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | ragbooster-0.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|---|---|
| Size | 1.2 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ ARM64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|
Release files / ragbooster-0.1.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl
| Download URL | ragbooster-0.1.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl |
|---|---|
| Size | 1.2 MB |
| Tags | CPython 3.9 Linux glibc 2.12+ x86-32 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|
Release files / ragbooster-0.1.1-cp39-cp39-macosx_11_0_arm64.whl
| Download URL | ragbooster-0.1.1-cp39-cp39-macosx_11_0_arm64.whl |
|---|---|
| Size | 317.1 kB |
| Tags | CPython 3.9 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|
Release files / ragbooster-0.1.1-cp39-cp39-macosx_10_7_x86_64.whl
| Download URL | ragbooster-0.1.1-cp39-cp39-macosx_10_7_x86_64.whl |
|---|---|
| Size | 326.9 kB |
| Tags | CPython 3.9 macOS 10.7+ x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/1.1.0
|