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Phoenix can be used to trace and evaluate applications that use Weaviate as a vector database.

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Examples

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Ingesting Data for Semantic Search

This tutorial will show you how to embed a large volume of data, upload it to a vector database, run top K similarity searches against it, and monitor it in production using VectorFlow, Arize Phoenix, Weaviate and LlamaIndex.
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Instrumenting and Evaluating a Weaviate RAG Pipeline

This tutorial serves as a great starting point to see how to manually instrument a RAG chatbot built on Weaviate, and visualize and evaluate the results in Phoenix.