General Introduction
EyeLevel is a company focused on preventing data illusions by transforming complex enterprise content into data suitable for Large Language Model (LLM) processing. Through its unique data transformation engine and multimodal processing technology, EyeLevel is able to transform complex tables, charts, forms, and other content into LLM-understandable data, significantly improving the accuracy and efficiency of AI applications. The platform is applicable to multiple industries, including travel, healthcare, and legal, helping organizations build high-precision AI applications.
Function List
- Document Conversion: Convert tables, charts, forms, etc. from corporate documents into data that LLM can process.
- multimodal processing: Recognize and process multiple forms of content in a document to ensure data integrity and accuracy.
- Dynamic chunking: Split the content of the document into small chunks that LLM can easily handle to avoid information loss.
- Context Generation: Automatically generates the context required by LLM to ensure proper understanding of the content.
- Semantic Search and Reordering: Provides highly accurate search results through semantic search technology and re-ranks the results to improve accuracy.
- No Code Tools: Provides easy-to-use, no-code tools to help users quickly build AI applications.
- Enterprise Security: Ensure that data is secure during transmission and storage in compliance with enterprise-grade security standards.
Function Operation Guide
- Data importAfter logging in to EyeLevel platform, click the "Data Import" button to select the document or data file to be processed, which supports a variety of formats (PDF, Word, Excel, etc.).
- data processing: After importing the data, the platform automatically runs a computer vision model and a dynamic chunker to convert the data into LLM-ready format.
- Building AI Applications::
- No Code ToolsChoose the "no-code tool" module within the platform, follow the prompts to select the data source, configure the parameters, select the template, and quickly generate AI applications.
- RAG Pipeline API: Developers can use the provided API interfaces to integrate the processed data into existing systems and build custom AI applications.
- Testing and Deployment: Once the application is built, it can be tested within the platform to ensure its accuracy. Once the tests are passed, select the "Deploy" option to publish the application to the production environment.
Advanced Features
- multimodal transition: The platform supports the conversion of complex content such as tables and charts into LLM-ready data, ensuring comprehensive data processing.
- Semantic Search and Reordering: Using the search function provided by the platform, the most relevant data blocks can be found quickly and the search results can be optimized by reordering techniques.
- Security and Compliance: The EyeLevel platform utilizes enterprise-grade security measures to ensure that data is secure during transmission and storage in compliance with various data privacy regulations.