Gestell

Gestell is a tool that helps manage and process data for large language models (LLMs). It solves problems that come with searching through messy, unstructured data, making it easier for LLMs to understand and use the information effectively.
Benefits
Gestell offers several key advantages. It handles the entire data process from start to finish, turning raw data into a format that LLMs can easily use. This ensures that the models get the exact information they need to make accurate decisions. The tool is also very customizable, allowing users to set rules using natural language, which makes it accessible even for those who are not tech savvy.
Another big benefit is its scalability. Gestell can handle large databases with over 50000 pages, making it ready for immediate use in big projects. It is also cost efficient, being about 40 percent cheaper than similar tools like Google''s Document AI. Gestell offers strong security features, including role based permissions and data encryption, to keep data safe throughout the process.
Use Cases
Gestell is perfect for medium to large companies that need to process a lot of data, especially those investing in AI and LLM based applications. It can be used for tasks like document processing, extracting key elements from data, and building structured databases for AI tasks. For example, it can help in legal processes by structuring data for complex workflows or assisting customer support agents.
Pricing
Gestell is noted to be approximately 40 percent cheaper than comparable solutions like Google''s Document AI.
Vibes
Gestell has shown great performance on FinanceBench, a top benchmark for testing search based reasoning systems. It outperformed its competitors by about 30 percent, showing its ability to handle complex financial queries across large databases. This makes it a valuable tool for real life business applications.
Additional Information
Gestell''s integrated approach and robust features make it a significant advancement in tools for LLMs. It provides a comprehensive, customizable, and scalable solution for turning unstructured data into structured, AI ready formats, ideal for organizations looking to make the most of their data for AI applications.
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