🧠 BeRAG
BeRAG is a modular Python library for Retrieval-Augmented Generation (RAG) systems built from your own data.
Features
- Load and chunk documents
- Generate embeddings
- Store and retrieve using vector DBs
- Ask questions via LLMs
Installation
pip install berag
Usage
from berag import RAGPipeline
rag = RAGPipeline(config="config.yaml")
rag.ask("What is BeRAG?")
Metadata
Release files for berag 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| berag-0.1.0.tar.gz | 2.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| berag-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.7 kB
Release files / berag-0.1.0.tar.gz
| Download URL | berag-0.1.0.tar.gz |
|---|---|
| Size | 2.2 kB |
| Tags | Source |
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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 |
twine/6.1.0 CPython/3.10.12
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Release files / berag-0.1.0-py3-none-any.whl
| Download URL | berag-0.1.0-py3-none-any.whl |
|---|---|
| Size | 2.6 kB |
| Tags | Python 3 |
|
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 |
twine/6.1.0 CPython/3.10.12
|