Gestell

🔗End-to-End ETL: the only ETL to handle the entire data ingestion and structuring process for LLMs

📝Customizable via Natural Language: simply instruct Gestell how to structure your data, and each step will be optimized based upon your query

📈Accurate Scalability: the only structuring platform to scale search-based reasoning accurately on database sizes of 100k+ pages

💰Cost Efficient: Gestell is ~40%+ cheaper than solutions like Google’s Document AI (which only has pdf parsing). Gestell’s cheaper pricing is also entirely inclusive of every filetype and format (images and video included) while also serving to structure the data being processed

⚙️Feature Extraction and Table Structuring: optimize specific outputs based upon criteria like the extraction of data features (names, dates, etc.) or structure outputs as a table, with data pulled based upon columns

🔍In-built tooling: chunking, vectorization, graph creation, re-rankers and more

Scaling a search-based reasoning system for an LLM is incredibly costly and nearly impossible with the current landscape of tools. The current patchworked landscape of RAG is full of point solutions that take months to build and won’t even scale to production-level databases. Your model with PhD level intelligence shouldn’t struggle to understand a database. Gestell fixes this through our integrated ETL, enabling out-of-the-box structuring that will work at scale for your model