While the default prompts provided by LlamaIndex are designed to work well in most scenarios, there may be instances where customization is necessary or desirable. For example, you might want to adjust prompts to do the following:

• Incorporate domain-specific knowledge or terminology
• Adapt prompts to a particular writing style or tone
• Modify prompts to prioritize certain types of information or outputs
• Experiment with different prompt structures to optimize performance or quality

By customizing prompts, we can fine-tune the interaction between the RAG components and the language model, potentially leading to improved accuracy, relevance, and overall effectiveness of our application.

The good news is that we can modify the behavior of various LlamaIndex components by supplying our own custom prompt templates. The not-so-good news is that contrary to common expectations, writing a good prompt template is not a trivial task. One...