Question: Is there a tool that provides end-to-end Retrieval Augmented Generation (RAG) technology for building enterprise-ready AI applications?

If you need to build enterprise-scale AI applications using Retrieval Augmented Generation (RAG) technology, Abacus.AI is a good candidate. The platform lets developers build and run AI agents and systems at large scale, with features like ChatLLM for end-to-end RAG systems, predictive modeling, anomaly detection and high availability. Abacus.AI spans a broad set of business use cases, so it's easier to integrate AI with other applications to improve customer service, run businesses more efficiently and forecast sales and revenue.

Another good option is Clarifai, which can help you get AI prototypes into production by using modern AI techniques like RAG. Clarifai lets companies build, manage and operate AI projects on-premises or in the cloud. Features include automated data labeling, content moderation and generative AI, and it's designed to let you get production AI applications up and running quickly while minimizing development costs.

Credal is a secure foundation for building AI applications with your company's own data. It offers a range of tools for workflow assistants and enterprise search, with built-in security and compliance controls. Credal's RAG technology means AI applications are secure and enterprise-ready, with features like end-to-end RAG, developer API and multimodal support.

If you need to handle complex Retrieval-Augmented Generation systems, SciPhi is a flexible and scalable option. It offers flexible document ingestion, powerful document management and connections to third-party data sources. SciPhi supports dynamic scaling and the ability to deploy advanced methods like HyDE and RAG-Fusion, so it's good for building intelligent assistants and custom AI applications.