Updated Cookbook: Example for Fetching Scores from Langfuse

[Sohammhatre10]

Description

This update provides an example of using the fetch_scores() function from Langfuse to retrieve evaluation metrics. The example integrates UpTrain and Ragas for model evaluation and demonstrates how to log and fetch scores within Langfuse as mentioned in https://github.com/langfuse/langfuse/issues/3505

Key Features

1. Evaluation with UpTrain and Ragas:

   • Provides examples for evaluating context relevance, factual accuracy, response completeness, context precision, faithfulness, and answer relevancy..

2. Fetching Scores:

   • Shows how to retrieve and filter scores using fetch_scores_from_langfuse.

3. Correlation Matrix Visualization:

   • Adds a section that calculates and visualizes the correlation between UpTrain and Ragas evaluation scores using a heatmap.

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[!IMPORTANT] Adds an example for using Langfuse to fetch scores, evaluate models with UpTrain and Ragas, and visualize results using a correlation matrix.

• Behavior:
  • Adds example for using fetch_scores() from Langfuse to retrieve evaluation metrics.
  • Demonstrates integration with UpTrain and Ragas for model evaluation.
  • Shows how to log and fetch scores within Langfuse.
• Visualization:
  • Includes a section for calculating and visualizing correlation between evaluation scores using a heatmap.
• Misc:
  • Minor whitespace changes in dspy.md, instructor.md, example-javascript.md, example-python-langgraph.md, example-python-instrumentation-module.md, example-python.md, example-vercel-ai.md, example_external_evaluation_pipelines.md, integration_dspy.md, integration_instructor.md, integration_langgraph.md, integration_llama-index_instrumentation.md, integration_llama_index_posthog_mistral.md, integration_mirascope.md, integration_mistral_sdk.md, integration_ollama.md, integration_openai_structured_output.md, example-langchain.md, js_integration_langchain.md, js_tracing_example_vercel_ai_sdk.md, prompt_management_langchain.md.

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