Building an AI prototype is easy and quick these days. Building production-grade systems is a different story. How do you keep moving quickly and run robustly? In this talk, we introduce you to Haystack 2.0 and show how an orchestration framework can truly help you build production-ready AI systems. We explain key concepts and share our learnings from working with thousands of open source users over the last 4 years. We touch on compound AI systems, the need for customizability, simple abstractions – and agentic RAG. We wrap up with an outlook into the future and what this means for us developers.
Building an AI prototype is easy and quick these days. Building production-grade systems is a different story. How do you keep moving quickly and run robustly? In this talk, we...
Everybody loves vector search and enterprises now see its value thanks to the popularity of LLMs and RAG. The problem is that prod-level deployment of vector search requires boatloads of...
Current US legislation prohibits AI applications in recruiting, healthcare, and advertising from discrimination and bias. This requires organizations who deploy such systems to test and prove that their solutions are...
Leveraging Generative AI, LLMs, and Google Search Wrappers for competitor analysis empowers the procurement team with real-time, data-driven insights. Generative AI and LLMs can process vast amounts of unstructured data,...
A report dedicated to the most current research aimed at using Large Language Models (LLMs) in the field of Sentiment Analysis. This task involves extracting the author’s opinion from the...
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