Following prompt engineering best practices helps you elicit accurate and reliable responses from the LLM. Here are 8 best practices with examples.

Mirascope now integrates with Langfuse. Class methods, calls and extractors can now easily be sent to Langfuse.

Explore our comprehensive guide on LlamaIndex vs LangChain. We also introduce Mirascope's modular toolkit for LLM application development.

Complex prompts require adequate prompt versioning. This article explores five tools to help you track changes in your LLM prompts.

We do a head-to-head comparison of Prompt Flow vs LangChain, along with our own modular LLM development toolkit, Mirascope.

We explain what a LangChain prompt template is, and how to use it. We also compare this with prompting in Mirascope.