Rago is a lightweight framework for RAG
Project description
Rago
Rago is a lightweight framework for RAG.
- Software License: BSD 3 Clause
- Documentation: https://osl-incubator.github.io/rago
Features
- Support for Hugging Face
- Support for llama
Installation
If you want to install it for cpu
only, you can run:
$ pip install rago[cpu]
But, if you want to install it for gpu
(cuda), you can run:
$ pip install rago[gpu]
Setup
Llama 3
In order to use a llama model, visit its page on huggingface and request your access in its form, for example: https://huggingface.co/meta-llama/Llama-3.2-1B.
After you are granted access to the desired model, you will be able to use it with Rago.
you will also need to provide a hugging face token in order to download the models locally, for example:
rag = Rago(
retrieval=StringRet(animals_data),
augmented=HuggingFaceAug(top_k=3),
generation=LlamaGen(apikey=HF_TOKEN),
)
rag.prompt('Is there any animals larger than a dinosaur?')
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file rago-0.5.0.tar.gz
.
File metadata
- Download URL: rago-0.5.0.tar.gz
- Upload date:
- Size: 9.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.4 CPython/3.11.10 Linux/6.5.0-1025-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4482e9752f64aad477113c18cbd531bf158f4ec3f8dc3fdd6c4b3bae2e5e2807 |
|
MD5 | d11f53cbc917a7b678fc0f81fb14ac97 |
|
BLAKE2b-256 | 7cb6a7c52a537ff3d47621a364f24d851f3b762527d690d096d8714866bbd0c1 |
File details
Details for the file rago-0.5.0-py3-none-any.whl
.
File metadata
- Download URL: rago-0.5.0-py3-none-any.whl
- Upload date:
- Size: 14.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.4 CPython/3.11.10 Linux/6.5.0-1025-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9c1cc77dd8f96c6ce8574272af96ad4e3c1cf35032024979b76241f7978d1557 |
|
MD5 | 0126b37ba0129eac54e6a82915589c00 |
|
BLAKE2b-256 | a4d13fe16299f1b4eafd512659fbc7504a548f6e7606b7f20e54ddda76d592e5 |