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AI Agents and Deterministic Workflows: A Spectrum, Not a Binary Choice
Many AI systems in production combine structured workflows with autonomous capabilities
By
The deepset Team
Understanding the Model Context Protocol (MCP)
How MCP is standardizing context integration for AI applications
AI Architecture
AI Trends
Intelligent Underwriting: Gen AI’s Impact on Modern Lending
How lenders can accelerate loan and mortgage underwriting with a Compound AI approach
Solutions
AI Architecture
From LLMs to Marketable Products: How to Build a Viral AI App
AI Models alone don't make a great product. But knowing what does is key to adoption, monetization, and return on investment (ROI)
AI Best Practices
AI Trends
Building AI Agents with LLMs
Large language models are the reasoning units behind business-ready AI agents. Learn how they drive decisions and actions in a Compound AI system
AI Trends
AI Fundamentals
DeepSeek vs. OpenAI o1: A Side-by-Side Demo in deepset
The release of DeepSeek confirms an essential truth about AI: there won't be one model to rule them all.
AI Trends
AI in the Cloud and On-Prem: Going the Extra Mile for Our Customers
How our partnerships with NVIDIA and Quest1 allow us to implement customized solutions—from utilizing existing local infrastructure to our fully managed service—to meet each customer's needs
AI Architecture
AI Trends
Product
Introducing deepset Studio
A new platform for rapidly building generative AI prototypes, with endless customization options and built-in AI engineering best practices, is now available to anyone developing with LLMs.
Product
Leveraging Metadata in RAG Customization
Overlooked and underestimated: the many ways in which metadata can improve generative AI applications
