Trieve is infrastructure for teams building search and retrieval-augmented generation. Rather than stitching together a vector database, an embedding pipeline, a ranking layer and a chat interface, Trieve provides them as one platform with an API surface. The emphasis is on hybrid retrieval that blends keyword matching with semantic search, so a system copes with both precise filters and fuzzy natural-language questions.
A substantial part of the value is in the operational details. Trieve manages how documents are chunked and embedded, then gives you tooling to inspect and improve relevance over time. Analytics expose how real queries behave, which lets you tune rankings instead of guessing. Conversational AI features turn that retrieval layer into assistants and knowledge bots grounded in your own content, which is the pattern most useful for support, documentation and e-commerce discovery.
Deployment flexibility is deliberate. Trieve can run as a managed service for teams that want to move fast, or be self-hosted from its open-source codebase when data locality or infrastructure control is required. Pricing is quoted based on usage and configuration, so organisations typically start with a conversation about their retrieval volumes and requirements.
