LlamaIndex provides high-level APIs that enable users to build powerful applications in a few lines of code.
With the new OpenAI API that supports function calling, it’s never been easier to build your own agent.
This guide demonstrates how to use Llamatrace, a collaboration between Arize and LlamaIndex to deliver hosted observability and evals with native support for LlamaIndex.
Answer Relevancy and Context Relevancy Evaluations for LlamaTrace
In this tutorial we will look into building a RAG pipeline and evaluating it with Phoenix Evals.
LlamaIndex Workflows is a new way to easily create agents that is built to move past linear workflows to more dynamic, decision-making processes.
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