Question: Is there a search engine API that can help reduce hallucinations and improve decision making in AI systems?

If you want to cut hallucinations and improve decision making in AI systems, Tavily is a top search engine API. Tavily helps LLMs and RAGs do research more efficiently and accurately by aggregating and curating trusted sources to supply real-time, factual information. The service can help dramatically reduce AI bias and hallucinations, and is useful for many AI tasks.

Another good choice is Exa. Exa uses embeddings and transformer-based models to supply contextually relevant search results, a good approach to avoiding hallucinations. It processes natural language queries and fetches page content immediately, so it's a good foundation for Large Language Models (LLMs) that need to fetch authoritative web content.

Last is LastMile AI, a full-featured platform for generative AI applications. It includes features like Auto-Eval for automated hallucination detection, RAG Debugger for performance optimization, and AIConfig for prompt and model parameter optimization. The platform supports a variety of AI models, and offers a notebook-like environment for prototyping and app development, making it easier to deploy production-ready generative AI apps.