Simple, flexible data framework for connecting custom data sources to large language models (LLMs).
LlamaIndex provides high-level APIs that enable users to build powerful applications in a few lines of code.
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With the new OpenAI API that supports function calling, it’s never been easier to build your own agent.
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This guide demonstrates how to use Llamatrace, a collaboration between Arize and LlamaIndex to deliver hosted observability and evals with native support for LlamaIndex.
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Answer Relevancy and Context Relevancy Evaluations for LlamaTrace
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In this tutorial we will look into building a RAG pipeline and evaluating it with Phoenix Evals.
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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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