Data Pipeline & ETL

Unstructured

ETL for LLMs — the standard for transforming PDFs, docs, and messy data into RAG-ready chunks.

Starter
Pricing Tier
Medium
Learning Curve
3–7 days
Implementation
small, medium, large, enterprise
Best For
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Use when

Any team building a production RAG pipeline over document-heavy data (contracts, research papers, support tickets). The infrastructure piece most teams underestimate.

Avoid when

Small, clean datasets where a naive PDF parser is enough — Unstructured is overkill for <1K simple documents.

What is Unstructured?

Unstructured.io solves the "I have 10K PDFs, now what?" problem. Its API and open-source library parse PDFs, Word docs, HTML, emails, and images into structured chunks ready for LLM ingestion. Handles tables, images, layout-aware extraction, and metadata. Used by enterprises as the ingestion layer for their RAG pipelines.

Key features

25+ document type parsers
Layout-aware extraction (tables, images)
Automatic chunking strategies
Connectors to S3, SharePoint, Google Drive
Enterprise on-prem deployment

Integrations

LangChainLlamaIndexPineconeDatabricks
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