Trieve offers advanced AI-powered search and discovery solutions, ensuring companies have a competitive edge. Features include semantic vector search, full-text search with BM25 and SPLADE models, and hybrid search capabilities. Trieve also provides relevance tuning, sub-sentence highlighting, and robust API integrations for easy data management. Companies can manage ingestion, embeddings, and analytics effortlessly, leveraging private open-source models for maximum data security. Set up industry-leading search experiences quickly and efficiently.

Spark Engine uses advanced AI models to transform text data into high-dimensional vector embeddings, allowing searches to go beyond keyword matching. When a user submits a query, Spark Engine processes it through natural language understanding to capture intent, compares it with indexed document embeddings, and ranks results by semantic similarity. The platform supports filtering, faceting, typo tolerance, and result personalization. With options for customizable relevance weights and analytics dashboards, teams can monitor search performance and refine parameters. Infrastructure is fully managed and horizontally scalable, ensuring low-latency responses under high load. Spark Engine's RESTful API and SDKs for multiple languages make integration straightforward, empowering developers to embed intelligent search into web, mobile, and desktop applications rapidly.