Partnership
Unstructured x IBM

Unstructured logo

Get Started with Unstructured and IBM

Unstructured and IBM make it simple to turn unstructured content into AI-ready data. See how our joint solution connects to your existing systems, automates data prep, and keeps everything compliant—so your teams can focus on building with AI, not managing data.


Unlock 80% of Your Enterprise Data

Enterprise data is often trapped in documents, PDFs, presentations, images, and other unstructured formats. Unstructured enables you to unlock this information through a robust, scalable solution that replaces brittle, manual workflows—fueling GenAI, search, and analytics across your organization.

ChallengeUnstructured SolutionBusiness Impact

Disconnected, hard-to-access data locked in documents

Ingests 60+ formats including PDFs, Office files, and images

Increases usable data volume for RAG, agents, and analytics by 70–80%

Manual processing pipelines that slow innovation

Fully automated, scalable document ingestion and transformation

Reduces document processing time and ongoing maintenance efforts

Poor data quality affecting LLM and search performance

Smart chunking, enrichment, and embedding optimized for GenAI

Improves retrieval precision and model response quality

Complex GenAI infrastructure requirements

Complete pipeline from raw files to structured, vector-searchable data in watsonx

Accelerates time-to-value by automating GenAI data preparation


Put Your Unstructured Data to Work

Integrate unstructured content into IBM ecosystems or your broader enterprise architecture to increase the accuracy, relevance, and impact of GenAI. From PDFs to multimedia, Unstructured converts complex content into AI-ready formats—giving you a foundation for high-quality, trustworthy AI.

IBM ProductHow It’s Enhanced with Unstructured

watsonx.data

Aggregate unstructured data across your enterprise, process it with Unstructured, and write structured results—including parsed text, extracted tables, and RAG-ready chunks—directly into watsonx.data. Outputs are schema-aligned and metadata-rich, ready to power your preferred engine such as IBM Presto.

watsonx.data Milvus

Generate embedding-ready, intelligently chunked content enriched with metadata. Index your enterprise knowledge to power fast, accurate semantic search and RAG pipelines.

watsonx.ai

Accelerate the development of RAG-enabled applications by continuously fueling your models with high-quality structured data processed from raw enterprise content.

IBM Consulting Teams

Equip IBM consultants with a scalable, production-ready solution for transforming unstructured client data—ready to be plugged into any GenAI architecture or storage backend.


Key Features

  • Seamless File Access
    Natively mount and stream files from enterprise storage platforms, business tools, and collaboration systems—no third-party connectors required. Support for 60+ file formats with OCR, visual-language parsing, and table extraction built in.
  • Smarter Vector Search
    Prepare your data for embedding with semantically enriched, chunked content. Enable fast, precise search across IBM Milvus or other vector search engines.
  • GenAI-Ready Data Transformation
    Automatically generate retrieval-optimized content chunks enriched with summaries, metadata, captions, and structured entities—ideal for use in GenAI and agent workflows.
  • Enterprise-Grade Architecture
    Secure by design. Built for scale with declarative workflows, configurable pipelines, and governance-first principles.
  • Flexible Integrations
    Deploy Unstructured with IBM watsonx or any preferred storage and vector database stack. Output formats are schema-aligned and metadata-rich for easy downstream consumption.

Use Cases


eBook

Download our free eBook: IBM and Unstructured: Activate Your Unstructured Data for GenAI Excellence.


Better Together

Unstructured and IBM watsonx.data make unstructured data AI-ready. Together, they turn enterprise content—from PDFs to emails—into structured, trusted data for generative AI and analytics at scale.