Agents turn simple keyword search into compelling search experiences
A traditional RAG system often looks like the search we’ve built for years. An LLM calls a search API. We have query understanding and reranking functionality under the hood. All optimized for user engagement. This thick-daddy search API does quite a bit, as shown below: With small modifications (chunking, a focus on vector retrieval) the RAG implementations look familiar. Agents, however, come with the ability to reason. And like human users, they might try a query, see the results, adjust t