Integrations

Ragas is a framework and can be integrated with a host of different frameworks and tools so that you can use Ragas with your own toolchain. If any tool you want is not supported feel free to raise an issue and we’ll be more than happy to look into it 🙂

• LlamaIndex
  • Building the Testset
  • Building the QueryEngine
  • Evaluating the QueryEngine
• Langchain
  • Evaluating Langchain QA Chains
  • Introducing RagasEvaluatorChain
  • Evaluate with langsmith
• Langsmith
  • Dataset and Tracing Visualisation
  • Tracing ragas metrics
• Phoenix (Arize)
  • 1. Introduction
  • 2. Install Dependencies and Import Libraries
  • 3. Configure Your OpenAI API Key
  • 4. Generate Your Synthetic Test Dataset
  • 5. Build Your RAG Application With LlamaIndex
  • 6. Evaluate Your LLM Application
  • 7. Visualize and Analyze Your Embeddings
  • 8. Recap
• Langfuse
  • Online Evaluation of RAG with Langfuse
  • The Environment
  • The Data
  • The Metrics
  • The Setup
  • Score with Trace
• Athina AI
  • Ragas Metrics on your Production Logs
    • ▷ Running Athina Programmatically
    • ▷ Configure Ragas to run automatically on your production logs
      • Learn more about Athina
• Zeno
  • Visualizing Ragas Results with Zeno
• Tonic Validate
  • Tonic Validate: Visualize Ragas Scores
  • Getting Started
  • Reaching out 👋
• Haystack
  • Evaluating Haystack with Ragas
  • Installation
    • Setting your OPENAI_API_KEY environment variable
  • Use the RagasEvaluator in a Haystack pipeline
• OpenLayer
  • Evaluating RAG pipelines with Openlayer and Ragas
  • Pre-requisites
  • Synthetic test data generation
  • Building RAG
  • Commit to Openlayer
• Helicone
  • Prerequisites
  • Setup
  • Prepare Data
  • Evaluate with Ragas
  • Viewing Results in Helicone