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Fetch retrieved context while running prompts

To mimic the real output that your users would see when sending a query, it is necessary to consider what context is being retrieved and fed to the LLM. To make this easier in Maxim’s playground, we allow you to attach the Context Source and fetch the relevant chunks. Follow the steps given below to use context in the prompt playground.
1

Create a Context Source

Create a new Context Source in the Library of type API.Create context source
2

Configure your RAG endpoint

Set up the API endpoint of your RAG pipeline that provides the response of the final chunks for any given input.RAG API endpoint
3

Add context variable to your prompt

Reference a variable {{context}} in your prompt to provide instructions on using this dynamic data.Variable usage
4

Link the Context Source

Connect the Context Source as the dynamic value of the context variable in the variables table.Variable linking
5

Test with real-time retrieval

Run your prompt to see the retrieved context that is fetched for that input.Retrieved context

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Next steps

Evaluate Retrieval Quality - check how to evaluate retrieval quality.