@devilsdev/rag-pipeline-utils/__tests__/fixtures/sample-eval-dataset.json

A modular toolkit for building RAG (Retrieval-Augmented Generation) pipelines in Node.js

[
    {
      "prompt": "What is a vector database?",
      "expected": "A vector database is a system optimized for storing and retrieving data represented as vectors, often used in similarity search."
    },
    {
      "prompt": "Explain what chunking means in RAG.",
      "expected": "Chunking is the process of splitting documents into smaller, manageable pieces for embedding and retrieval in a RAG pipeline."
    },
    {
      "prompt": "What is the role of embedding in a RAG pipeline?",
      "expected": "Embeddings convert text into numerical vector form so they can be compared in a vector database during retrieval."
    }
  ]