Unstructured x Snowflake
Unstructured x Snowflake
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.
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.
Challenge
Unstructured
Platform
Unstructured Solution
Unstructured
Solution
Outcome
Business
Impact
Limited access to document data
Process 45+ file types incl. PDFs, images, and Office
Expand usable data by 70–80%
Manual document workflows
Automated scalable ingestion & transformation
Cut workflow effort and latency
Poor LLM inputs
Semantic chunking, enrichment, auto-embedding
Increase RAG retrieval accuracy
GenAI pipeline complexity
Full E2E pipeline → Snowflake tables for Cortex & Streamlit support
Reduce GenAI implementation time
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.
Challenge
Unstructured Solution
Outcome
Limited access to document data
Process 45+ file types incl. PDFs, images, and Office
Expand usable data by 70–80%
Manual document workflows
Automated scalable ingestion & transformation
Cut workflow effort and latency
Poor LLM inputs
Semantic chunking, enrichment, auto-embedding
Increase RAG retrieval accuracy
GenAI pipeline complexity
Full E2E pipeline → Snowflake tables for Cortex & Streamlit support
Reduce GenAI implementation time
Bring Unstructured Data into Snowflake
Product-by-Product Integration:
Snowflake Product
Unstructured
Platform
What Unstructured Adds
What Unstructured Adds
Tables
Makes unstructured content more easily queryable with Snowflake SQL.
Cortex Analyst
Rich metadata generation for more robust semantic modeling.
Cortex Search
Support for a wide variety of vector embedding models provided by Snowflake and Unstructured for more accurate and relevant search results.
Cortex LLM functions
Rich metadata generation, vector embedding, chunking, and text enrichments for more robust sentiment analysis, text classification, text summarization and translation, and LLM fine-tuning.
Cortex PARSE_DOCUMENT function
60+ file types; richer JSON schema output along with metadata, vector embedding, chunking, and text enrichments in a single call; enhanced OCR for more accurate image and PDF extraction; and vision language models (VLMs) for higher-quality text and image extraction along with support for handwriting recognition, complex table layouts, and degraded image captures.
Streamlit in Snowflake
Rich metadata generation and text enrichments for more useful and insightful UI-based apps that interact visually with your data.
Bring Unstructured Data into Snowflake
Product-by-Product Integration:
Snowflake Product
What Unstructured Adds
Tables
Makes unstructured content more easily queryable with Snowflake SQL.
Cortex Analyst
Rich metadata generation for more robust semantic modeling.
Cortex Search
Support for a wide variety of vector embedding models provided by Snowflake and Unstructured for more accurate and relevant search results.
Cortex LLM functions
Rich metadata generation, vector embedding, chunking, and text enrichments for more robust sentiment analysis, text classification, text summarization and translation, and LLM fine-tuning.
Cortex PARSE_DOCUMENT function
60+ file types; richer JSON schema output along with metadata, vector embedding, chunking, and text enrichments in a single call; enhanced OCR for more accurate image and PDF extraction; and vision language models (VLMs) for higher-quality text and image extraction along with support for handwriting recognition, complex table layouts, and degraded image captures.
Streamlit in Snowflake
Rich metadata generation and text enrichments for more useful and insightful UI-based apps that interact visually with your data.
Key Features
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, zero data persistence
Use Cases
Use Cases
RAG Pipelines
RAG Pipelines
RAG Pipelines
Feed high-quality, semantically chunked documents into your GenAI models—prepared by Unstructured, stored and retrieved entirely inside Cortex Search.
Feed high-quality, semantically chunked documents into your GenAI models—prepared by Unstructured, stored and retrieved entirely inside Cortex Search.
Feed high-quality, semantically chunked documents into your GenAI models—prepared by Unstructured, stored and retrieved entirely inside Cortex Search.
Enterprise Search
Enterprise Search
Enterprise Search
Convert legacy files into structured, indexed formats. Enable semantic and keyword search across all your documents.
Convert legacy files into structured, indexed formats. Enable semantic and keyword search across all your documents.
Convert legacy files into structured, indexed formats. Enable semantic and keyword search across all your documents.
LLM Fine-Tuning & Evaluation
LLM Fine-Tuning & Evaluation
LLM Fine-Tuning & Evaluation
Create training and eval datasets from raw enterprise documents. Extract content, and metadata, write to Snowflake.
Create training and eval datasets from raw enterprise documents. Extract content, and metadata, write to Snowflake.
Create training and eval datasets from raw enterprise documents. Extract content, and metadata, write to Snowflake.
AI Agent Workflows
AI Agent Workflows
AI Agent Workflows
Give agents access to structured knowledge pulled from slide decks, contracts, policies, etc.—all versioned and stored in Snowflake.
Give agents access to structured knowledge pulled from slide decks, contracts, policies, etc.—all versioned and stored in Snowflake.
Give agents access to structured knowledge pulled from slide decks, contracts, policies, etc.—all versioned and stored in Snowflake.
Relevant Blogs
Relevant Blogs
Getting Started
Ready to get started?
Ready to get 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
A no-code, fully automated ETL solution to support your business and LLM needs.
Sign up to join the Platform beta.
A no-code, fully automated ETL solution to support your business and LLM needs.
Sign up to join the Platform beta.
Copyright © 2025 Unstructured
Copyright © 2025 Unstructured
Copyright © 2025 Unstructured