Carbon (Perplexity) vs Reducto: RAG Frameworks Comparison
Compare Carbon (Perplexity) and Reducto side by side. Both are tools in the RAG Frameworks category.
The short answer
Choose Carbon (Perplexity) if pre-built connectors for easy integration with multiple data sources.
Choose Reducto if exceptionally well-funded with $108M total raised, indicating strong investor confidence.
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Quick Comparison
| Category | RAG Frameworks | RAG Frameworks |
| Pricing | usage-based | usage-based |
| Best For | B2B startups needing data ingestion from multiple sources | Developers building RAG for finance, legal, and complex documents |
| Website | carbon.ai | reducto.ai |
| Key Features |
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Pros & Cons: Carbon (Perplexity) vs Reducto
- +Pre-built connectors for easy integration with multiple data sources
- +AI-optimized data processing with automatic chunking, embedding, and cleaning
- +Enterprise-grade security with SOC 2 Type II compliance and end-to-end encryption
- +Streamlined RAG development with production-ready infrastructure
- +Now backed by Perplexity AI with enhanced enterprise capabilities
- −Company was acquired and original standalone service is winding down
- −Pricing information not transparently available
- −Limited documentation on migration paths after acquisition
- −Uncertain future roadmap as integration with Perplexity progresses
- +Exceptionally well-funded with $108M total raised, indicating strong investor confidence
- +Impressive growth with 6x increase in monthly volume, processing nearly 1 billion pages
- +State-of-the-art MIT-built vision models for human-like document reading
- +Strong enterprise adoption including Fortune 10 companies and top hedge funds
- +Expanded capabilities with document generation (Reducto Edit) alongside parsing
- −Credit-based pricing may be difficult to predict for variable workloads
- −Relatively new company (founded 2023) despite strong funding
- −Pricing details not fully transparent on website
- −May be overkill for simple document parsing needs
About Carbon (Perplexity)
Carbon is a RAG (Retrieval-Augmented Generation) framework that helps developers connect external data sources to Large Language Models. The platform provides pre-built connectors to ingest unstructured data from any source and load it into any destination, with AI-ready data processing that chunks, embeds, and cleans content for optimal LLM performance. Carbon was designed to simplify building RAG applications with features including credentials and content encryption at rest and in transit, full SOC 2 Type II compliance, and advanced data processing capabilities. In December 2024, Carbon was acquired by Perplexity AI to enhance their enterprise search capabilities, allowing users to search through files and work messages in Notion, Google Docs, Slack, and other enterprise applications.
About Reducto
Reducto is a Series B-funded AI document intelligence platform built by MIT engineers featuring state-of-the-art vision models that read documents like humans do, solving critical bottlenecks for AI teams working with unstructured data. The platform extracts structured data directly from documents with schema-level precision, handling invoice fields, onboarding forms, financial disclosures, and more across PDFs, images, spreadsheets, slides, and other formats through a single unified API. Since their Series A announcement, Reducto's monthly processing volume has grown by more than 6x, now processing close to a billion pages of data for leading technical teams including Harvey, Mercor, and Rogo, as well as enterprise clients including a Fortune 10 company, a Global Top 5 Hedge Fund, and category leaders across Healthcare, Insurance, and Real Estate. In July 2025, Reducto expanded beyond document reading with Reducto Edit for document generation capabilities.
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 Frameworkstools →Other RAG Frameworks Tools
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