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Trieve offers a comprehensive all-in-one AI infrastructure solution designed for integrating advanced search functionalities into applications. The platform supports search, recommendations, and retrieval-augmented generation (RAG) using cutting-edge search language models optimized for ranking and relevance. Features include private managed embedding models, SPLADE full-text neural search, semantic vector search, hybrid search, merchandising relevance tuning, and date recency biasing. Trieve's infrastructure is production-ready and free to get started, making it an attractive option for developers looking to enhance search capabilities.
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Private Managed Embedding Models
SPLADE Full-Text Neural Search
Semantic Vector Search
Hybrid Search
Merchandising Relevance Tuning
Date Recency Biasing
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Integrating advanced search functionalities into new or existing applications.
Enhancing product search capabilities with merchandising relevance tuning.
Improving content discoverability through full-text and semantic vector search.
Utilizing custom embedding models or hosted open-source defaults.
Building robust search features quickly using production-ready infrastructure.
Combining full-text and semantic vector search for precise search results.
Ensuring the most relevant and recent results are displayed to users.
Experimenting with cutting-edge search language models like SPLADE.
Implementing efficient search tools to assist in resolving customer queries.
Boosting search results based on sales or popularity to drive conversions.
Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.