Whitepaper
Reference Architecture: Demystifying LLM-based Systems | DataStax
![Reference Architecture: Demystifying LLM-based Systems | DataStax](https://cdn.sanity.io/images/bbnkhnhl/production/d8d081bf33d407679e93ae09f5b5948226f07214-612x792.jpg?w=750&q=75&fit=clip&auto=format)
We’ve continued our close collaboration with LangChain by publishing a new, detailed roadmap for leveraging LLMs in production. “An LLM Agent Reference Architecture” provides clear and comprehensive guidance to help demystify LLM-based systems. This new guide includes:
- Common design patterns and use cases that commonly crop up when building generative AI applications.
- In-depth architectural examples (building a chatbot on your documentation, for example)
- A comprehensive look at important considerations to keep in mind when architecting LLM-based systems.
We hope this guide provides valuable insights and a clear perspective on navigating important architectural considerations that arise when working with LLMs. Download “An LLM Agent Reference Architecture” today.