Vectorize Iris
Powerful vision model for precise chunking of complex documents.
Retrieval API
Quickly integrate your vector search data into your application.
Reranking & Relevancy
Improved retrieval performance with built-in reranking model and relevancy scoring.
RAG Evaluation
Automated analysis finds the best embedding model and chunking strategy for your data.
Vectorize RAG-as-a-Service simplifies the AI development process by handling the complex aspects, allowing developers to concentrate on building and optimizing their applications. With a user-friendly interface and robust capabilities, it empowers both seasoned developers and no-coders to create efficient RAG applications. The platform supports the automatic extraction of text, images, and tables from various document formats, transforming unstructured data into optimized search indexes that enhance the performance of AI applications.
Vectorize seamlessly integrates with various vector databases, enabling automatic creation and updates of vector indexes. It features advanced capabilities for query rewriting and RAG sandbox testing, ensuring high-quality AI applications without the need for extensive expertise in data engineering or machine learning.
Question Answering Systems
AI Copilots
Call Center Automation
RAG-as-a-Service is a platform that simplifies the development of Retrieval Augmented Generation applications.
Vectorize automatically extracts text, images, and tables from documents to create optimized search indexes.
Yes, you can start for free to explore the features of Vectorize RAG-as-a-Service.
