If you need an AI-powered search and RAG service with tiered pricing depending on the size of your dataset, Trieve is a good choice. It provides a full stack for building search, recommendations, and RAG experiences. It supports advanced search features like semantic vector search and hybrid search, and offers free and paid options, including Dev Cloud, Sovereign, Pro Cloud and Enterprise Cloud, depending on your needs and budget.
Another good option is SciPhi which makes it easy to build and deploy Retrieval-Augmented Generation systems. It lets you ingest documents in many ways, manage documents effectively and scale up or down, so it's good for small projects or bigger businesses. SciPhi has a tiered pricing system, including a free option for small projects, a Startup option for small teams and an Enterprise option for bigger businesses.
For a more enterprise-level option, Ayfie offers a more mature Retrieval Augmented Generation platform that is designed to deliver results that are more contextually relevant and to help you understand your data better. It has flexible subscription options and can be deployed in a variety of ways, including SaaS, Hybrid and Cloud. Ayfie also has advanced security features and can be integrated with a wide variety of data sources and systems, making it a good option for bigger businesses.
Last, Neum AI is an open-source framework for building data infrastructure for RAG and semantic search. It has scalable pipelines for processing millions of vectors and can be easily integrated with services like Supabase. Neum AI supports real-time data embedding and indexing and has a variety of pricing tiers, including a free starter plan and pro, enterprise and custom plans, so it can be used for a variety of needs and scales.