Keywords AI
Carbon (Perplexity) vs Unstructured
Compare Carbon (Perplexity) and Unstructured side by side. Both are tools in the RAG Frameworks category.
Quick Comparison
| Category | RAG Frameworks | RAG Frameworks |
| Pricing | usage-based | Freemium |
| Best For | B2B startups needing data ingestion from multiple sources | Enterprises that need to extract structured data from large volumes of unstructured documents |
| Website | carbon.ai | unstructured.io |
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| Use Cases | — |
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When to Choose Carbon (Perplexity) vs Unstructured
- Enterprise document ingestion pipelines
- RAG data preparation from PDFs and docs
- Financial document processing
About Carbon (Perplexity)
Carbon, acquired by Perplexity in December 2024, provided pre-built data connectors for ingesting unstructured data from 25+ sources into LLM applications. Its managed API was wound down in March 2025, with its technology now integrated into Perplexity's enterprise data connectivity stack. Carbon's connectors supported Google Drive, Notion, Slack, Confluence, and other popular data sources for RAG pipelines.
About Unstructured
Unstructured is the leading data ingestion platform for AI applications, transforming unstructured data—PDFs, Word documents, HTML, images, emails—into clean, structured formats ready for LLM consumption and RAG pipelines. The platform handles document parsing, OCR, table extraction, and chunking with high accuracy. Available as open-source and a managed API service, Unstructured is used by enterprises to prepare large document corpora for AI processing.
What is RAG Frameworks?
Frameworks and tools for building retrieval-augmented generation pipelines—document parsing, chunking, indexing, and query engines that connect LLMs to your data.
Browse all RAG Frameworks tools →