Trieve is an open source AI search and retrieval infrastructure platform that provides semantic search, hybrid search, and recommendation APIs for application developers building knowledge bases, chatbots, and AI-native search experiences.
The Problem
Building search for AI applications requires more than a keyword index. Developers need vector embedding storage, hybrid dense-sparse retrieval, chunk management, and a reranking layer. Managed alternatives like Algolia cover keyword search but not vector retrieval; Pinecone covers vectors but not hybrid search with full-text fallback. Building this stack from scratch consumes weeks of infrastructure work before the application itself gets any attention.
How Trieve Solves It
Trieve packages vector embedding generation, chunk storage, hybrid retrieval, semantic search, and recommendation into a single API that applications call directly. A pre-built search widget lets teams embed a working search experience in hours. The full platform is self-hostable via Docker for teams with data residency requirements. BSL 1.1 license applies.
Key Features
- Hybrid search: combines dense vector search with BM25 sparse retrieval for better result quality
- Chunk management API for ingesting, splitting, and versioning document content
- Recommendations API for "more like this" document and content discovery
- Embedded search widget for drop-in search UI without custom frontend work
- Self-hostable via Docker with a managed cloud option for teams that prefer it
Who It's For
Trieve is best for developers building AI applications that need production-grade search, RAG pipelines, or recommendation features and want a single API instead of assembling a vector database, BM25 engine, and reranker themselves.
Compared to Algolia
Unlike Algolia, which provides keyword and typo-tolerant search without native vector or RAG support, Trieve is purpose-built for AI applications with hybrid retrieval, embedding management, and a recommendation layer included. Algolia has broader e-commerce and enterprise tooling; Trieve focuses on AI-native search and retrieval use cases.
