Gestell

ETL for LLMs: Making any data source AI-Ready

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Description

Gestell provides an end-to-end solution for preparing unstructured data for use with Large Language Models. It handles the entire structuring process, from data ingestion and chunking to vectorization and knowledge graph creation, ensuring data is transformed into an AI-ready format. This integrated approach allows for scalable and accurate search-based reasoning, overcoming limitations faced by other solutions.

Gestell offers flexibility through customizable rules for structuring tasks, catering to specific business needs and data types. Users can interact with the tool via a web workspace or directly through its API, supporting both code and no-code implementations. The platform is designed to be comprehensive, integrated, customizable, scalable, and pragmatic, progressively improving with use. It supports various data types including PDFs, images, Excel files, slides, and videos.

Key Features

Integrated ETL for LLMs: End-to-end data structuring from ingestion (parsing, intelligent chunking) to vectorization, graph creation, and disclosure.
Multi-modal Data Support: Ingests and processes diverse data types including PDF, images, Excel, slides, and video.
Customizable Enframing & Categorization: Set natural language rules for breaking down and organizing data.
Vector Store & Knowledge Graph Creation: Canonizes data by creating vectors of meaning and graphs of relations.
Scalable Search & Retrieval: Provides accurate, repeatable search results across large datasets with re-rankers.
Agent-First Architecture: Utilizes AI agents throughout the processing and retrieval pipeline.
Flexible Access: Interact via Web Workspace dashboard or programmatically using API and SDKs (Node, Python).
Enterprise Security: Includes SSO/SAML, Role-based Permissions, and Data Encryption.
Feature Extraction & Table Structuring: Automatically identifies key characteristics and structures tabular data.
Model-Agnostic Design: Compatible with different AI models and frameworks.

Use Cases

Building scalable Gen AI applications
Unlocking insights from large, unstructured datasets
Enabling complex retrieval and reasoning tasks for LLMs
Optimizing data pipelines for AI readiness
Developing applications requiring accurate search over diverse data types

Frequently Asked Questions

What is Gestell?

Gestell is an ETL (Extract, Transform, Load) tool specifically designed for LLMs. It transforms unstructured data into AI-ready databases through a comprehensive process including chunking, vectorization, and graph creation, enabling accurate, scalable search-based reasoning for LLMs.