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A Python library for interacting with Rally.io services

Project description

Rally.io Python Package

A Python package for interacting with Rally.io services, including search and RAG (Retrieval Augmented Generation) capabilities.

Installation

Quick Install (Recommended)

Simply use pip to install the package:

pip install rallyio

Development Installation

If you want to install the package in development mode or contribute to the project:

  1. Clone the repository:
git clone https://github.com/jatinarora2409/rallyio.git
cd rallyio
  1. Create a virtual environment (recommended):
python -m venv venv
source venv/bin/activate  # On Windows, use: venv\Scripts\activate
  1. Install the package in development mode:
pip install -e .

Usage

Search Tool

import rallyio

# Initialize the search tool
search_tool = rallyio.get_search_tool(
    data_id="your-data-id",
    api_key="your-api-key"
)

# Perform a search
results = search_tool.search("your search query")
print(results)

# Get information about the data source
data_info = search_tool.get_data_info()
print(data_info)

RAG Tool

import rallyio

# Initialize the RAG function
rag_function = rallyio.get_rag_function(
    project_id="your-google-cloud-project-id",
    rag_corpus_id="your-rag-corpus-id",
    location="us-central1"  # optional, defaults to "us-central1"
)

# Use the RAG function to get responses
response = rag_function("What is the capital of France?")
print(response)

# You can reuse the same function for multiple queries
response2 = rag_function("Tell me about quantum computing")
print(response2)

Requirements

  • Python 3.8 or higher
  • Google Cloud credentials configured (for RAG functionality)
  • Required Python packages (automatically installed with the package):
    • requests
    • google-cloud-aiplatform
    • google-generativeai

Google Cloud Setup

To use the RAG functionality, you need to:

  1. Have a Google Cloud project set up
  2. Enable the Vertex AI API
  3. Create a RAG corpus in your project
  4. Set up authentication:
    # Install Google Cloud CLI
    # Then authenticate:
    gcloud auth application-default login
    

Development

To run tests:

pytest

To format code:

black .

License

[Your chosen license]

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