Snowflake excels at structured data, but 80% of enterprise knowledge remains trapped in unstructured files—out of reach for your data teams and AI efforts.
Unstructured closes this gap by transforming these raw assets into analytics and GenAI-ready formats, ready for use with Snowflake-native tools such as Cortex Agents, Cortex Analyst, Cortex Search, Cortex LLM functions, and Streamlit in Snowflake apps.
Unlock 80% of Your Enterprise Data
Most enterprise knowledge is trapped in unstructured formats, like PDFs, docs, images, and more. Unstructured replaces brittle, manual pipelines with a scalable, Snowflake-native solution, turning unstructured files into fuel for GenAI, search, and analytics.
Bring Unstructured Data into Snowflake
Product-by-Product Integration:
Key Features
- Unified output using a standard JSON schema
- Built-in orchestration with update logic to reprocess only changed docs
- Named Entity Recognition, image captioning, table enrichment
- Live sync support from third-party sources to Snowflake tables
- Support for OCR, VLMs, rule-based parsing
- Secure by design: SOC2 Type 2, HIPAA, RBAC, GDPR, ISO 27001, zero data persistence
Use Cases
Relevant Blogs
Ajay Krishnan
Unstructured
Getting Started
Turn your raw data into an AI-ready foundation with Unstructured’s enterprise-grade document processing platform.
Unstructured integrates seamlessly with Snowflake, enabling you to extract, process, and prepare unstructured data—so it’s chunked and embedded for optimal performance in your RAG applications
