Unstructured is a comprehensive solution designed to convert messy, unstructured enterprise data into structured, AI-compatible JSON formats. It supports large-scale data transformation, integrates seamlessly with various data sources and destinations, and emphasizes security and compliance.
Key Features
- Multi-source data extraction from over 64 file types and 35+ sources
- Three-stage process: Partition, Clean, Stage (PCS)
- Supports popular data destinations like graph databases and vector stores
- Open source libraries for rapid deployment
- Enterprise-grade security and compliance (HIPAA, GDPR)
- User-friendly UI and API for flexible workflows
- Compatible with leading AI tools and models (OpenAI, AWS Bedrock, Anthropic, etc.)
Use Cases
- Data preparation for large language models (LLMs)
- Enterprise data integration and transformation
- Automated data curation and artifact removal
- Scalable data pipeline management for AI applications
Unstructured is ideal for data scientists, engineers, and enterprises aiming to streamline their data workflows, reduce manual effort, and unlock insights from unstructured data.