Carbon (Perplexity) vs Vectara
Overview
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.
Vectara is a RAG-as-a-service platform that provides end-to-end retrieval-augmented generation through a single API. It handles document ingestion, chunking, embedding, retrieval, reranking, and generation—with built-in hallucination detection and citation extraction—without requiring developers to manage any RAG infrastructure.
Key features
Core capabilities each platform advertises.
- Data connectors
- Google Drive
- Notion
- Slack integration
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- 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
Cons
- 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
Pros
- Complete RAG-as-a-Service solution with no infrastructure management required
- Founded by former Google executives with deep search and ML expertise
- Supports 100+ languages out of the box without additional configuration
- Strong focus on reducing hallucination with explainability and provenance tracking
- Flexible deployment options including SaaS, VPC, or on-premise
- Automatic scaling without manual intervention
Cons
- Credit-based pricing model requires careful usage tracking
- Proprietary vector database may limit portability compared to open standards
- Less transparent pricing information compared to competitors
- Relatively small team (33 employees) for enterprise-scale platform
Compare Carbon (Perplexity) and Vectara on your own traffic
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