To get started, users can install RAGatouille using pip and follow the provided instructions for training and fine-tuning models, indexing, and retrieving documents. The tool also supports integration with other platforms like the official ColBERT implementation, Vespa, Intel's FastRAG, and LlamaIndex.
Key takeaways:
- RAGatouille is a tool designed to bridge the gap between state-of-the-art research and RAG pipeline practices, making it easy to use advanced methods without needing to understand the complex details.
- The tool focuses on making ColBERT, a model that has been shown to generalise better to new or complex domains than dense embeddings, simple to use.
- RAGatouille provides a simple process for training and fine-tuning ColBERT models, embedding and indexing documents, and retrieving documents.
- RAGatouille can be easily integrated into projects and has a growing number of integrations with other platforms, including Vespa, Intel's FastRAG, and LlamaIndex.