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Trieve is a data management platform designed to help users efficiently organize, search, and interact with their data. It offers a robust set of tools for managing datasets, which are collections of smaller units of information called chunks. These chunks can be created by dividing larger datasets into manageable pieces, such as paragraphs or sentences, depending on the specific application needs.

Key features of Trieve include its powerful search functionality, which allows users to find relevant chunks within a dataset based on specific queries. This is facilitated by the search API, enabling text similarity searches to retrieve matching chunks. Additionally, Trieve offers a recommendation system that generates a list of chunks similar to a specified chunk, enhancing data accessibility and discovery.

Trieve also supports Retrieval Augmented Generation (RAG), a technique that combines search and generation to formulate responses to user queries. This feature enables users to generate contextually relevant responses based on the content of their datasets, enhancing the interactivity and utility of the platform.

The platform allows users to organize chunks using tag sets, which consist of various tags for efficient categorization and filtering. Metadata can be linked to chunks to provide additional context, and groups can be used to associate related chunks, enhancing comprehensive information retrieval.

Overall, Trieve provides a comprehensive framework for data management, search, and generation, making it a valuable tool for users seeking to optimize their data interaction processes.

Trieve offers an AI search infrastructure for applications that combines search language models with tools for fine-tuning ranking and relevance. The service integrates various features such as full-text search via a retrieval model called SPLADE, semantic vector search, hybrid search which combines full-text search and semantic vector search with re-ranker models, and merchandising relevance tuning which boosts search results based on attributes like sales or popularity. Other capabilities include date recency biasing, sub-sentence highlighting and duplicate content handling for more effective knowledge management. Users can host sensitive data themselves with Trieve's platform ensuring data protection. Trieve also supports building search, recommendation and RAG features allowing users to focus on creating unique features for their applications. Further, it provides private managed embedding models and allows hosting of open-source models on their servers. The platform enables users to set up an industry-leading search UX quickly by adding existing data, integrating their API, and initiating search, recommendation or generation.

Website: trieve.ai

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Trieve

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