startgarlic 0.1.1

A RAG-based company information retrieval system

MVP

Garlic

A RAG-based company information retrieval system that provides intelligent company recommendations based on natural language queries.

Installation

pip install garlic

Quick Start

from garlic import StartGarlic

# Initialize the system
garlic = StartGarlic()

# Get a response for a query
response = garlic.generate_response("Tell me about AI companies")

Features

• Company information retrieval using RAG (Retrieval-Augmented Generation)
• Semantic search using sentence transformers
• Built-in company database
• Natural language query processing
• Context-aware responses
• Chat history support

Usage Examples

Basic query

response = garlic.generate_response("What companies work with computer vision?")

Query with chat history

chat_history = [
    {"role": "user", "content": "I'm looking for AI companies"},
    {"role": "assistant", "content": "What specific area of AI interests you?"},
    {"role": "user", "content": "Computer vision"}
]

response = garlic.generate_response("Show me some examples", chat_history)

Requirements

• Python >= 3.7
• pandas >= 1.3.0
• sentence-transformers >= 2.0.0
• numpy >= 1.19.0
• openpyxl >= 3.0.0

Authors

• Bogdan Ciolac ([e-mail])
• May Elshater ([e-mail])

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.