Trieve

Trieve fills a specific niche: developers building AI-powered search into custom applications, especially those requiring RAG pipelines. Its hybrid search (keyword + semantic) with automatic chunking and embedding reduces the grunt work of preprocessing. The A/B testing feature for search algorithms is rare among search APIs and can help you optimize relevance experimentally. Real-time indexing and multi-tenancy are practical for SaaS products. On the downside, the free tier's 500 searches/month is very restrictive for even lightweight testing. Paid plans start at $99/month (500k chunks, 10k searches), which can become expensive as you scale. Integrations are sparse—only PostgreSQL, MongoDB, Stripe, and Supabase are listed, so you'll likely need custom connector work. There are no native SDKs for languages other than REST API, which adds friction for some teams. The tool lacks out-of-the-box UI components, so you'll build the frontend yourself. For smaller projects or non-technical teams, a more turnkey solution like Algolia might be better. Trieve is best for engineering teams who want fine-grained control over search and are comfortable with API-based development.

Trieve is a search and discovery API that lets you integrate AI-powered search, recommendations, and retrieval augmented generation (RAG) into your applications with minimal backend work. It combines keyword and semantic search into a hybrid retrieval system, automatically chunks and embeds documents, and supports advanced filtering, faceted search, and custom ranking models. You get real-time indexing, A/B testing for search algorithms, and multi-tenancy out of the box. Compared to Algolia or Elasticsearch, Trieve emphasizes AI-native capabilities like RAG and relevance tuning, but its integration ecosystem remains limited. Pricing tiers start at $0/month for 50k chunks and 500 searches/month, scaling up to custom enterprise plans.