Metadata-Version: 2.4
Name: berag
Version: 0.1.0
Summary: A modular RAG pipeline library for your own data
Home-page: https://github.com/your_github_username/berag
Author: Besanty Ezekiel
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: openai
Requires-Dist: chromadb
Requires-Dist: sentence-transformers
Requires-Dist: langchain
Requires-Dist: tqdm
Requires-Dist: PyYAML
Requires-Dist: pypdf
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# 🧠 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
```bash
pip install berag
```

## Usage
```python
from berag import RAGPipeline
rag = RAGPipeline(config="config.yaml")
rag.ask("What is BeRAG?")
```
