How we improved search results in 1Password
1Password has improved its search functionality by integrating large language models, enhancing accuracy and flexibility while ensuring user privacy. The update retains original search options for user preference.
Read original article1Password has enhanced its search functionality by integrating large language models (LLM) to improve the accuracy and flexibility of search results. Previously, the search relied on exact matches of tokens, which often led to frustrating experiences for users, such as failing to retrieve relevant items if the search term did not match the exact wording in the item names or tags. The new LLM-supported search allows for a more intuitive experience by deriving keywords from popular website metadata, which are then indexed and made accessible offline. This means that when users perform a search, 1Password compares their queries to a secure keyword cache, identifying relevant items in their vaults without compromising user privacy. The LLM does not interact with user data directly, ensuring that sensitive information remains secure. The original search functionality, which included exact matches and filtering options, has been retained alongside the new system, allowing users to choose their preferred method. The update aims to enhance usability while maintaining the high security standards that 1Password is known for. Overall, the integration of AI technology is designed to provide a more effective search experience without sacrificing user privacy.
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The study presents a method to boost Large Language Models' retrieval and reasoning abilities for long-context inputs by fine-tuning on a synthetic dataset. Results show significant improvements in information retrieval and reasoning skills.
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