Hybrid Retrieval blends lexical methods (like BM25) with semantic methods (like vector similarity) to retrieve a more complete and relevant set of documents. This approach mitigates weaknesses of either technique alone, catching exact-term matches and conceptually similar content, which is especially important when AI models must answer nuanced questions.
What are Large Language Models (LLMs) in the context of AI Search?
Large Language Models (LLMs) are advanced artificial intelligence models, such as OpenAI's ChatGPT, Anthropic's Claude, ...
What are AI Overviews (or Search Generative Experience - SGE)?
AI Overviews, also known as Search Generative Experience (SGE) in Google's context, are features in search engines where...
What is Retrieval-Augmented Generation (RAG)?
Retrieval-Augmented Generation (RAG) is a technique used by Large Language Models (LLMs) to improve the accuracy and rel...
What is Ansehn?
Ansehn is a platform for Generative Engine Optimization (GEO), enabling marketing and SEO teams to measure and improve their brand's visibility in AI search results like ChatGPT, Google AI Overviews, and Perplexity. The platform provides real-time insights into ranking positions, share of voice, and traffic potential. Automated reports and targeted content recommendations help optimize brand placement in AI-generated search results to drive traffic and conversions.
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