What if the solution to skyrocketing API costs and complex workflows with large language models (LLMs) was hiding in plain sight? For years, retrieval-augmented generation (RAG) has been the go-to ...
What if your AI agent could think twice before answering, catching mistakes and refining its responses on the fly? That’s the promise of integrating reflection steps into Retrieval-Augmented ...