ragit 0.0.1

Automatic RAG Pattern Optimization Engine

ragit

Automatic RAG (Retrieval-Augmented Generation) hyperparameter optimization engine.

What it does

ragit finds the best configuration for your RAG pipeline by testing different combinations of:

• Chunk sizes and overlaps
• Number of retrieved chunks
• Embedding models
• LLM models

You provide documents and benchmark questions, ragit evaluates different configurations and returns the best one.

Install

pip install ragit

Usage

from ragit import RagitExperiment, Document, BenchmarkQuestion

documents = [
    Document(id="doc1", content="Your document text here..."),
]

benchmark = [
    BenchmarkQuestion(
        question="A question about your documents?",
        ground_truth="The expected answer."
    ),
]

experiment = RagitExperiment(documents, benchmark)
results = experiment.run()

print(results[0])  # Best configuration

License

Apache-2.0 - RODMENA LIMITED