Agentic search: build AI agent search tools with Meilisearch

This post introduces agentic search as an evolution of RAG, enabling LLMs to iteratively query and filter data using search tools. It details the architecture of agentic search, contrasting it with deterministic RAG workflows by highlighting the dynamic control flow and variable latency of agentic systems. The post introduces the `@meilisearch/ai-sdk` for TypeScript, which provides search tools compatible with the Vercel AI SDK, allowing developers to build AI agents that can query Meilisearch indexes. It provides examples of building basic agentic search and more complex multi-hop agentic execution for domain-specific use cases like Magic: The Gathering rules, demonstrating how purpose-built tools and iterative querying improve context gathering and response accuracy.