Unstructured x Databricks
Unstructured x Databricks
Databricks 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 turns raw files into AI-ready data that plugs directly into your Databricks workflows.
Databricks 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 turns raw files into AI-ready data that plugs directly into your Databricks workflows.
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, Databricks-native solution—turning unstructured files into fuel for GenAI, search, and analytics.
Unstructured Platform
Unstructured
Platform
Unstructured Solution
Unstructured
Solution
Business Impact
Business
Impact
Hard-to-access document data
Support for 60+ file types incl. PDFs, Office, images, and more
Boost usable data for RAG, agents, and analytics by 70–80%
Manual document processing bottlenecks
Scalable, automated ingestion and transformation
Reduce document processing time and workflow maintenance related efforts
Low quality data for LLMs and Vector Search
Smart chunking, enrichment, and embedding
Improve retrieval accuracy for GenAI
Complex GenAI implementation
End-to-end pipeline from raw documents to AI-ready data in Vector Search via Delta Tables
Cut GenAI project implementation time by automating data delivery
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, Databricks-native solution—turning unstructured files into fuel for GenAI, search, and analytics.
Unstructured Platform
Unstructured Solution
Business Impact
Hard-to-access document data
Support for 60+ file types incl. PDFs, Office, images, and more
Boost usable data for RAG, agents, and analytics by 70–80%
Manual document processing bottlenecks
Scalable, automated ingestion and transformation
Reduce document processing time and workflow maintenance related efforts
Low quality data for LLMs and Vector Search
Smart chunking, enrichment, and embedding
Improve retrieval accuracy for GenAI
Complex GenAI implementation
End-to-end pipeline from raw documents to AI-ready data in Vector Search via Delta Tables
Cut GenAI project implementation time by automating data delivery
Bring Unstructured Data into Your Lakehouse
Databricks excels at structured data—Unstructured handles the rest. From PDFs to multimedia, we turn raw files into AI-ready formats so you can unify your data estate within Databricks.
Databricks Product
Unstructured
Platform
How It’s Enhanced with Unstructured
How It’s Enhanced with Unstructured
Volumes
Connect Unstructured directly to your Volumes to ingest unstructured files (PDFs, docs, images, audio, and more), extract clean structured content enriched with metadata, named entities and custom enrichments for downstream GenAI applications
Delta Tables
Gather unstructured data from your entire organization, process it with Unstructured, then write processed outputs—like parsed text, structured tables, and RAG-ready chunks—directly into Delta Tables with schema alignment and metadata.
Unity Catalog
Maintain data lineage and access control by syncing processed outputs and metadata.
Vector Search
Generate embedding-ready, intelligently chunked content with rich metadata.
SQL Warehouse / Clusters
Make unstructured data queryable by converting it into structured, SQL-ready formats.
Bring Unstructured Data into Your Lakehouse
Databricks excels at structured data—Unstructured handles the rest. From PDFs to multimedia, we turn raw files into AI-ready formats so you can unify your data estate within Databricks.
Databricks Product
How It’s Enhanced with Unstructured
Volumes
Connect Unstructured directly to your Volumes to ingest unstructured files (PDFs, docs, images, audio, and more), extract clean structured content enriched with metadata, named entities and custom enrichments for downstream GenAI applications
Delta Tables
Gather unstructured data from your entire organization, process it with Unstructured, then write processed outputs—like parsed text, structured tables, and RAG-ready chunks—directly into Delta Tables with schema alignment and metadata.
Unity Catalog
Maintain data lineage and access control by syncing processed outputs and metadata.
Vector Search
Generate embedding-ready, intelligently chunked content with rich metadata.
SQL Warehouse / Clusters
Make unstructured data queryable by converting it into structured, SQL-ready formats.
Key Features
Key Features
Native File Access via Volumes
Native File Access via Volumes
Native File Access via Volumes
Mount and stream files from Databricks Volumes without third-party connectors. Supports 60+ formats with OCR, VLM, and parsing capabilities baked in.
Mount and stream files from Databricks Volumes without third-party connectors. Supports 60+ formats with OCR, VLM, and parsing capabilities baked in.
Mount and stream files from Databricks Volumes without third-party connectors. Supports 60+ formats with OCR, VLM, and parsing capabilities baked in.
Smarter Vector Search
Smarter Vector Search
Smarter Vector Search
Generate high-quality, semantically enriched inputs for embedding and store them for fast, accurate retrieval using Databricks Vector Search.
Generate high-quality, semantically enriched inputs for embedding and store them for fast, accurate retrieval using Databricks Vector Search.
Generate high-quality, semantically enriched inputs for embedding and store them for fast, accurate retrieval using Databricks Vector Search.
GenAI-Optimized Data Transformation
GenAI-Optimized Data Transformation
GenAI-Optimized Data Transformation
Produce retrieval-ready chunks enriched with metadata, captions, summaries, and entities—ideal for RAG and agentic workloads.
Produce retrieval-ready chunks enriched with metadata, captions, summaries, and entities—ideal for RAG and agentic workloads.
Produce retrieval-ready chunks enriched with metadata, captions, summaries, and entities—ideal for RAG and agentic workloads.
Full Metadata and Lineage Support
Full Metadata and Lineage Support
Full Metadata and Lineage Support
Track document provenance, apply access controls, and preserve semantic relationships between chunks with Unity Catalog compatibility.
Track document provenance, apply access controls, and preserve semantic relationships between chunks with Unity Catalog compatibility.
Track document provenance, apply access controls, and preserve semantic relationships between chunks with Unity Catalog compatibility.
Delta Table Integration
Delta Table Integration
Delta Table Integration
Write parsed and structured outputs directly to Delta Tables, auto-mapped to your schema with live sync for incremental updates.
Write parsed and structured outputs directly to Delta Tables, auto-mapped to your schema with live sync for incremental updates.
Write parsed and structured outputs directly to Delta Tables, auto-mapped to your schema with live sync for incremental updates.
Built for the Enterprise
Built for the Enterprise
Built for the Enterprise
Secure by design, with configuration-driven pipelines, robust orchestration, and governance-first architecture.
Secure by design, with configuration-driven pipelines, robust orchestration, and governance-first architecture.
Secure by design, with configuration-driven pipelines, robust orchestration, and governance-first architecture.
Use Cases
Use Cases
RAG Pipelines in Databricks
RAG Pipelines in Databricks
RAG Pipelines in Databricks
Feed high-quality, semantically chunked documents into your GenAI models—prepared by Unstructured, stored and retrieved entirely inside Databricks.
Feed high-quality, semantically chunked documents into your GenAI models—prepared by Unstructured, stored and retrieved entirely inside Databricks.
Feed high-quality, semantically chunked documents into your GenAI models—prepared by Unstructured, stored and retrieved entirely inside Databricks.
Enterprise Search
Enterprise Search
Enterprise Search
Convert legacy files into structured, indexed formats. Enable semantic and keyword search across your entire document lake.
Convert legacy files into structured, indexed formats. Enable semantic and keyword search across your entire document lake.
Convert legacy files into structured, indexed formats. Enable semantic and keyword search across your entire document lake.
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 Delta.
Create training and eval datasets from raw enterprise documents. Extract content, and metadata, write to Delta.
Create training and eval datasets from raw enterprise documents. Extract content, and metadata, write to Delta.
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 Delta.
Give agents access to structured knowledge pulled from slide decks, contracts, policies, etc.—all versioned and stored in Delta.
Give agents access to structured knowledge pulled from slide decks, contracts, policies, etc.—all versioned and stored in Delta.
Relevant Blogs
Relevant Blogs
Webinar: End-to-End RAG with Databricks
Speakers
Speakers
Speakers
Maria Khalusova
Nina Lopatina
Head of Developer Relations, Unstructured
Developer Relations Engineer, Unstructured
Prasad Kona
Christopher Maddock
Lead Partner Solutions Architect, Databricks
Head of Solutions Architecture, Unstructured
Overview
Overview
Overview
In this webinar we guide you through the end-to-end process of building a Retrieval Augmented Generation (RAG) application—from raw, unstructured data to a production-ready chatbot. In this session, you’ll learn how to turn your enterprise data into a powerful foundation for a context-aware AI assistant using Databricks and Unstructured.
E-Book
Download our free e-book: Databricks and Unstructured: Automate Enterprise Data to Fuel Your GenAI
E-Book
Download our free e-book: Databricks and Unstructured: Automate Enterprise Data to Fuel Your GenAI
Getting Started
Ready to get started?
Ready to get started?
Transform your Databricks data lake into an AI powerhouse with Unstructured's enterprise-grade document processing platform.
Our seamless integration ensures your unstructured data is processed, chunked, and embedded properly for maximum 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