About

Agentic Search is a blog about the intersection of AI agents and information retrieval. We cover how agentic systems are reshaping search, from vector databases and hybrid retrieval pipelines to multi-step reasoning, tool use, and synthesized answers.

Topics we explore include:

• Agentic search architectures and design patterns
• Large language models as reasoning engines for retrieval
• Vector search, hybrid search, and knowledge graphs
• Content optimization for AI-generated answers
• Evaluation and observability for agentic systems
• Production deployment of search and RAG pipelines

Written by the Agentic Search Team — engineers and researchers building the next generation of search technology. We believe the future of search is agentic, and we are documenting the journey.