RAG-as-a-Service that just works

Vectorize handles the complicated and difficult aspects of AI development, enabling you to build RAG applications up to 10 times faster.

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RAG-as-a-Service that just works

Introduction

What is Vectorize AI?

Vectorize AI is a RAG (Retrieval Augmented Generation)-as-a-Service platform designed to simplify the development of AI applications. It handles the complex aspects of AI development, allowing users to focus on building their applications without needing deep expertise in data engineering or machine learning. Vectorize AI supports various use cases, including question answering systems, AI copilots, call center automation, content automation, and hyper-personalization.

Main Features of Vectorize AI

  • Streamlined RAG Development: Vectorize AI accelerates the building of RAG applications by 10x, making it easier for developers to integrate AI features into their applications.

  • Unstructured Data Handling: The platform can automatically extract text, images, and tables from documents like PDFs, Word Docs, and PowerPoints, turning them into optimized search indexes.

  • Trusted by Developers: Over 5,000 developers at companies like JO Safety, Groq, and Family Cloud AI rely on Vectorize for their AI needs.

  • Advanced RAG Capabilities: Includes powerful vision models, retrieval APIs, reranking models, and query rewriting to enhance application accuracy.

How to Use Vectorize AI

  1. Getting Started: Users can start for free or schedule a demo to explore the platform's capabilities.

  2. Data Integration: Vectorize allows easy integration with various data sources, enabling developers to connect their customers' data to AI features seamlessly.

  3. Vector Database Integration: The platform supports creating and updating vector indexes in popular vector databases, enhancing AI application performance.

Pricing

Vectorize AI offers a scalable pricing structure, including a free tier to get started. For more details on specific plans and enterprise solutions, users are encouraged to contact the sales team.

Helpful Tips

  • Focus on Application Development: Leverage Vectorize AI's tools to concentrate on building applications rather than infrastructure.

  • Maximize the Free Tier: Utilize the free features to explore and familiarize yourself with the platform's capabilities.

  • Leverage Advanced Features: Use the built-in RAG evaluation and query rewriting tools to improve application performance and accuracy.

  • Integrate with Other Tools: Combine Vectorize AI with existing data sources and vector databases to enhance functionality.

Frequently Asked Questions

  • What is the pricing structure?

    Vectorize AI offers a free tier and scalable pricing options. Contact the team for detailed pricing information.

  • Is there a free tier available?

    Yes, Vectorize AI provides a free tier to help users get started with building their RAG applications.

  • Can Vectorize AI handle large amounts of data?

    Absolutely. Vectorize is designed to process and index large datasets efficiently, making it suitable for enterprise-level applications.

  • Can I customize the RAG pipeline?

    Yes, Vectorize offers customization options, including choosing embedding models and chunking strategies for optimal performance.

  • What support options are available?

    Vectorize provides extensive documentation, community support, and options for dedicated customer support for enterprise users.