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Context Engineering: The Next Frontier Beyond Prompt Engineering
This article explores how designing the right informational environment is the key to building sophisticated, enterprise-ready AI application and agents in 2026.
By
The deepset Team
How to Build an AI Agent with LLMs: Tools & Principles
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 Haystack Enterprise Platform
The release of DeepSeek confirms an essential truth about AI: there won't be one model to rule them all.
AI Trends
AI in Cloud Computing & 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 Haystack Enterprise Platform Trial
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
AI Best Practices
AI Architecture
The Role of Data Preprocessing in RAG
Half of a Retrieval Augmented Generation project is data preparation and indexing
AI Architecture
AI Fundamentals
AI Best Practices
Advanced RAG Techniques for Customizing Systems
Introduction to Advanced RAG: How to extend basic generative AI pipelines for any use case
AI Best Practices
AI Architecture
AI Fundamentals
What Is an AI Engineer? Bridging Research and Product Development
How the role of an AI engineer is distinct from traditional software engineers or data scientists
