What data types does AXYS support for unstructured data?
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.
Can AXYS handle both structured and unstructured data?
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.
How much does the environment running AXYS cost in AWS?
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
Read More
Will AXYS affect my original data sources?
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
Read More
Can I use AXYS to build Retrieval Augmented Generation (RAG) workflows for my AI agents?
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
Read More
What is AXYS’s approach to AI prompting and model integration?
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
Read More
How does AXYS optimize data pipelines and reduce costs for AI and LLM (Large Language Model like OpenAI) usage?
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
Read More
How does AXYS handle schema mapping and data transformation across different sources?
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
Read More
How easy is it to add or remove data connectors in AXYS?
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
Read More