VectorShift Pipelines
Shares tags: analyze, rag & search, indexers
Seamlessly clean, chunk, and vectorize your documents for powerful analytics.
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<a href="https://www.stork.ai/en/unstructured-ingest-api" target="_blank" rel="noopener noreferrer"><img src="https://www.stork.ai/api/badge/unstructured-ingest-api?style=dark" alt="Unstructured Ingest API - Featured on Stork.ai" height="36" /></a>
[](https://www.stork.ai/en/unstructured-ingest-api)
overview
The Unstructured Ingest API allows businesses to transform unstructured documents into structured, machine-readable formats. This transformation is essential for analytics and generative AI workflows, enabling users to derive actionable insights from their data.
features
Our API is equipped with advanced features designed for versatility and ease of use. Choose from three pre-configured workflows and prepare for even more customization options in the near future.
use cases
The Unstructured Ingest API is ideal for enterprises in various sectors looking to optimize their data ingestion processes. It simplifies the complexity of unstructured data for analytics, search, and retrieval.
The Unstructured Ingest API supports a broad range of file types including PDFs, contracts, reports, and more, enabling seamless ingestion of unstructured documents.
The API employs the latest high-performing models, ensuring quality and cost efficiency across all data processing tasks.
The API is designed for enterprises across various industries, including banking, healthcare, legal, consumer packaged goods (CPG), and automotive, facilitating their transition from unstructured to structured data.
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For builders
AI agents read it. Buyers find it. Backlinks accrue. Your tool can have one too — live in 24 hours, indexed by Claude, ChatGPT, and Perplexity, queryable via MCP.