Unstructured Data

Information lacking a predefined schema (such as PDFs, video, and sensor logs) that accounts for roughly 80% of all enterprise data.

Unstructured data comprises the 80% to 90% of enterprise information that bypasses traditional row-and-column schemas. This category includes high-volume formats: PDF invoices, MP4 recordings, and JSON logs. Organizations deploy specialized pipelines (using tools like Amazon S3 and Snowflake) to ingest these files. By applying LLMs and vector databases (such as Pinecone), developers convert raw text and media into searchable embeddings. This process is the backbone of RAG (Retrieval-Augmented Generation) and modern AI applications.

https://www.snowflake.com/guides/unstructured-data