Trieve
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Trieve
Trieve is a comprehensive AI-powered search and discovery platform that helps companies build competitive advantages through advanced search experiences. The platform combines billion-scale search capabilities with sophisticated features including semantic vector search, BM25 & SPLADE full-text search, and hybrid search functionality.
The platform stands out with its private open-source models approach, ensuring data security while providing powerful features such as sub-sentence highlighting, merchandising controls, and custom embedding model support. Trieve offers a modular infrastructure that can be self-hosted for organizations with sensitive data requirements or maximum performance needs.
summary.arguflow.gg
Trieve is a comprehensive platform designed to enhance discovery experiences through advanced AI-powered search capabilities. It offers a unified API that integrates semantic vector search, full-text search (BM25 & SPLADE), and hybrid search, combining the strengths of both approaches. The system allows for the use of both stock and custom embedding models, providing flexibility in how data is processed and retrieved.
Trieve emphasizes ease of use and management, enabling users to oversee ingestion, embeddings, and analytics efficiently. Features like merchandising, relevance tuning, and sub-sentence highlighting improve search result precision and user experience. The platform is built on a foundation of private open-source models, ensuring data security and offering a self-hostable option for those with stringent data sensitivity or performance requirements.
Trieve
Pricing
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Pricing
Trieve
Features
- Semantic Vector Search: Advanced search capabilities beyond traditional full-text search
- Hybrid Search: Combines full-text and semantic vector search with cross-encoder re-ranker models
- Private Open-Source Models: Secure data handling with private server deployment
- Merchandising Controls: API and no-code dashboard for search result optimization
- Sub-sentence Highlighting: Precise result highlighting for improved user experience
- Custom Embedding Models: Support for both stock and custom embedding models
- Self-Hosting Options: Available for sensitive data and performance requirements
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Features
- Semantic Vector Search: Supports semantic vector search out of the box.
- BM25 & SPLADE Full-Text Search: Offers leading state-of-the-art retrieval models for full-text search.
- Hybrid Search: Combines full-text search and semantic vector search with cross-encoder re-ranker models.
- Merchandising & Relevance tuning: Allows tuning and boosting of search results via API or no-code dashboard.
- Sub-sentence Highlighting: Shows users exactly what they are looking for within long search results.
Trieve
Use cases
- Enterprise search implementation
- E-commerce product discovery
- Document management systems
- Knowledge base search optimization
- Content recommendation systems
- Large-scale data retrieval solutions
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Use cases
- Enhancing website search functionality
- Improving e-commerce product discovery
- Developing custom search applications
- Building recommendation systems
- Creating RAG (Retrieval-Augmented Generation) experiences
Trieve
Uptime Monitor
Average Uptime
99.9%
Average Response Time
543.33 ms
Last 30 Days
summary.arguflow.gg
Uptime Monitor
Average Uptime
99.65%
Average Response Time
571.63 ms
Last 30 Days
Trieve
summary.arguflow.gg
