Teradata x Unstructured: Unlock Scalable, Multi-Modal Intelligence Across Your Enterprise
Enterprises are racing to adopt generative and agentic AI, but the majority stumble when trying to operationalize their most important data. Unstructured content—spanning text, documents, images, audio, and video—makes up the bulk of enterprise information, yet it remains trapped in disconnected, siloed systems that AI models can't access. Standalone vector databases attempt to address this, but they add complexity, drive up costs, and sever ties to the governed structured data and security controls organizations rely on. This disconnect is the primary reason AI pilots fail to reach production. The core problem is not a missing vector database, but a missing data foundation for AI.
To solve this, Teradata and Unstructured have formed a strategic partnership. Unstructured automatically extracts, enriches, chunks, and embeds content across more than 60 file types from over 20 enterprise sources. Those embeddings are then stored, governed, and queried natively inside Teradata alongside structured data, under the same security and compliance framework organizations already operate. This unified approach eliminates the need to duplicate infrastructure, move data outside the enterprise environment, or onboard an additional vendor. Together, the two platforms close the gap between the 80% of enterprise knowledge previously invisible to AI and the trusted structured data organizations already depend on.
To solve this, Teradata and Unstructured have formed a strategic partnership. Unstructured automatically extracts, enriches, chunks, and embeds content across more than 60 file types from over 20 enterprise sources. Those embeddings are then stored, governed, and queried natively inside Teradata alongside structured data, under the same security and compliance framework organizations already operate. This unified approach eliminates the need to duplicate infrastructure, move data outside the enterprise environment, or onboard an additional vendor. Together, the two platforms close the gap between the 80% of enterprise knowledge previously invisible to AI and the trusted structured data organizations already depend on.