Here you can find a database of hundreds of search related active patents and papers. The patents and papers are tagged by SEO and GEO related topics, steps of the information retrieval process and the probabilty they could be used nowadays or in the future.
You can navigate and filter the analysis by the internal search or by the tags. It is possible to combine the tags.
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A patent application does not mean that the methods described there will find its way into practice in the search engines. An indication of whether a methodology/technology is so interesting for Google that it could find its way into practice can be obtained by checking whether the patent is pending only in the US or other countries. The claim for a patent priority for other countries must be made 12 months after the first filing.Regardless of whether a patent finds its way into practice, it makes sense to deal with Google patents, as you get an indication of the topics and challenges that product developers at Google and other search engines are dealing with.
This Microsoft patent describes a system that allows users to search across many different types of data sources using plain natural language, without needing to know what databases exist or read more
This Google patent describes a system called an IR (Information Retrieval) adapter that improves how large language models (LLMs) search for and retrieve relevant information. The core idea is to read more
This Microsoft patent describes a system that improves how AI chatbots retrieve and use information to answer user questions. Instead of relying on standard web search results that often return read more
This Microsoft patent describes a system called the “generative document system” that uses multiple generative AI models to create different types of search results documents in response to a user’s read more
This patent describes a web browsing application developed by Google that integrates a vector database directly into the browser to store and manage session data. As users browse the web, read more
This patent, granted to OpenAI OpCo, LLC, describes a system for managing how large language models (LLMs) handle memory during conversations. Instead of storing full conversation transcripts that take up read more
This patent describes a computing system developed by Microsoft that combines a traditional search engine with a generative language model (GLM) into a single, seamless dual-mode search interface. Users can read more
This Google patent describes a task-based search system that uses machine-learned models to break down a broad user query into specific subtasks. Instead of just returning generic search results, the read more
This Google patent describes an automated system and method for training and evaluating AI language models using trustworthy, authoritative sources. The system collects credible publications on a specific topic, automatically read more
This Microsoft patent describes a system called the “generative document system” that automatically builds detailed, AI-generated search results documents in response to user search queries. Instead of showing a simple read more
