Use Cases: Tracing

The following. guides serve a examples for how you can use Phoenix tracing to optimize your application.

Evaluate RAG

How to use traces to evaluate a rag pipeline

Structured Data Extraction

Using LLMs to extract structured data from unstructured text

Tracing Notebooks

Title	Topics	Links
Retrieval Example with Evaluations	Evaluations Retrieval
Tracing and Evaluating a LlamaIndex + OpenAI RAG Application	LlamaIndex OpenAI retrieval-augmented generation
Tracing and Evaluating a LlamaIndex OpenAI Agent	LlamaIndex OpenAI agents function calling
Tracing and Evaluating a Structured Data Extraction Application with OpenAI Function Calling	OpenAI structured data extraction function calling
Tracing and Evaluating a LangChain + OpenAI RAG Application	LangChain OpenAI retrieval-augmented generation
Tracing and Evaluating a LangChain Agent	LangChain OpenAI agents function calling
Tracing and Evaluating a LangChain + Vertex AI RAG Application	LangChain Vertex AI retrieval-augmented generation
Tracing and Evaluating a LangChain + Google PaLM RAG Application	LangChain Google PaLM retrieval-augmented generation
Tracing and Evaluation a DSPy Application	LangChain Google PaLM retrieval-augmented generation