| Name | ilimikudi JSON |
| Version |
0.3.1
JSON |
| download |
| home_page | None |
| Summary | Datasets for Gen AI customer care and data processing for Nigerian Banks and Fintech |
| upload_time | 2024-12-12 06:50:53 |
| maintainer | None |
| docs_url | None |
| author | thelaycon |
| requires_python | <4.0,>=3.10 |
| license | None |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# IlimiKudi
**IlimiKudi** provides access to Fintech and Banking datasets like blog posts and support articles from platforms such as GTBank, Paystack, Moniepoint, and OPay. It is designed for use in AI-powered customer applications, including retrieval-augmented generation (RAG) for NLP.
## Features
- Access datasets stored in CSV format.
- Query an integrated database with multiple data sources.
## Installation
Install the required dependencies via `pip`:
```bash
pip install pandas duckdb
```
## Usage
### Accessing CSV Datasets
Load datasets using the following classes:
```python
from ilimikudi import GTBSupportPosts
# Access GTB Support Posts data
gtb_posts = GTBSupportPosts()
data = gtb_posts.get_data() # Return as pandas DataFrame
print(data.head())
```
Available classes for CSV files:
- `GTBSupportPosts`
- `MergedData`
- `MoniepointBlogPosts`
- `OpayBlogPosts`
- `PaystackBlogPosts`
- `PaystackSupportPosts`
### Querying the Integrated Database
Query the integrated database:
```python
from ilimikudi import MergedDB
# Query the integrated database
db = MergedDB()
result = db.query() # Default: SELECT * FROM unified
print(result.head())
```
Custom queries can also be executed:
```python
custom_query = "SELECT column_name FROM unified WHERE condition"
result = db.query(custom_query)
print(result)
```
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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"description": "# IlimiKudi\n\n**IlimiKudi** provides access to Fintech and Banking datasets like blog posts and support articles from platforms such as GTBank, Paystack, Moniepoint, and OPay. It is designed for use in AI-powered customer applications, including retrieval-augmented generation (RAG) for NLP.\n\n## Features\n- Access datasets stored in CSV format.\n- Query an integrated database with multiple data sources.\n\n## Installation\n\nInstall the required dependencies via `pip`:\n\n```bash\npip install pandas duckdb\n```\n\n## Usage\n\n### Accessing CSV Datasets\n\nLoad datasets using the following classes:\n\n```python\nfrom ilimikudi import GTBSupportPosts\n\n# Access GTB Support Posts data\ngtb_posts = GTBSupportPosts()\ndata = gtb_posts.get_data() # Return as pandas DataFrame\nprint(data.head())\n```\n\nAvailable classes for CSV files:\n- `GTBSupportPosts`\n- `MergedData`\n- `MoniepointBlogPosts`\n- `OpayBlogPosts`\n- `PaystackBlogPosts`\n- `PaystackSupportPosts`\n\n### Querying the Integrated Database\n\nQuery the integrated database:\n\n```python\nfrom ilimikudi import MergedDB\n\n# Query the integrated database\ndb = MergedDB()\nresult = db.query() # Default: SELECT * FROM unified\nprint(result.head())\n```\n\nCustom queries can also be executed:\n\n```python\ncustom_query = \"SELECT column_name FROM unified WHERE condition\"\nresult = db.query(custom_query)\nprint(result)\n```\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n",
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