Yes, AXYS fully supports the creation of Retrieval Augmented Generation (RAG) workflows for your AI agents. With AXYS, you can automatically connect, organize, and structure both structured and unstructured data, making it instantly accessible for AI models. The no-code interface lets you set up RAG pipelines without any custom development, and AXYS optimizes each query to deliver only the most relevant data to your AI agents. This approach not only enhances the accuracy and context of AI-generated responses but also reduces token usage and operational costs for large language models.

AXYS is engineered to dramatically reduce the cost and complexity of AI and LLM usage in your organization. By leveraging advanced retrieval augmented generation (RAG) workflows and intelligent data orchestration, AXYS delivers only the most relevant and concise information to AI models. This targeted approach achieves up to 98.8 percent reduction in token usage, significantly lowering OpenAI and LLM operational costs while improving performance. AXYS automates the process of preparing, filtering, and structuring your data before sending it to AI, ensuring efficient, cost-effective queries and faster results—without sacrificing data accuracy or security.

AXYS offers a no-code approach to AI prompting and model integration, making it simple for any user to connect data and interact with AI models. The platform intelligently analyzes your connected data schemas and suggests optimized prompts tailored to your unique data structure, helping you get more accurate and relevant results from AI models like OpenAI. AXYS can even use its own built-in AI to refine or enhance your prompts, automatically generating the most effective questions and responses for your use case. This seamless process allows businesses to integrate powerful AI and LLM capabilities without manual coding, complex engineering, or guesswork—accelerating AI adoption and improving outcomes.

AXYS automatically detects and maps data schemas from all connected sources, standardizing field names, data types, and relationships for unified analysis. In addition to automatic harmonization, AXYS offers intelligent and manual tagging options, lets you overwrite field names, and allows you to create custom relationships between sources or fields—all with no code required. These flexible tools make it easy to tailor your data model, combine complex data sets, and adapt transformations for your specific business needs. Whether you need fully automated mapping or hands-on customization, AXYS ensures your data is always organized, consistent, and ready for advanced analytics or AI projects.

No, AXYS does not alter or impact your original data sources. The platform connects in a read-only or permission-controlled manner, ensuring that your source data remains untouched and fully secure. All data extraction, transformation, and orchestration occur within AXYS without changing the integrity or structure of your original systems. You maintain complete control over your data at all times.

Yes, AXYS is designed to handle both structured and unstructured data seamlessly. The platform can connect to databases, spreadsheets, and other structured sources, as well as process unstructured content like documents, emails, PDFs, and more. This versatility ensures you can unify, analyze, and make use of all your business data—regardless of format—within a single platform.

Adding or removing data connectors in AXYS is a simple, no-code process. You only need to provide your authentication credentials, and AXYS automatically connects to your data source, verifies the integration, and continuously monitors the connection for health and reliability. No engineering or manual setup is required, so you can easily manage all your connectors from a user-friendly interface. This makes it quick and effortless to update, expand, or streamline your data integrations as your business needs change.

AXYS supports a wide range of unstructured data types, including PDFs, Word documents, Excel spreadsheets, plain text files, CSV files, emails, and other text-based documents. Any document containing readable text can be ingested, indexed, and analyzed by the platform, making it easy to unify and search across all your unstructured business content.

The cost to run AXYS in your AWS environment is extremely efficient and starts as low as $150 per month for a basic setup. AXYS offers several deployment options, allowing you to choose the right environment size and resources to match your business needs. As your requirements grow, the infrastructure costs can scale flexibly based on data volume, processing power, and availability preferences, but AXYS is designed to keep cloud costs minimal and predictable for companies of any size.