📖 The AI Tool Bible

LlamaIndex vs Rayyan

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
LlamaIndex
RAG
Rayyan
RAG
TaglineData framework for connecting LLMs to your data.AI-assisted systematic review platform for screening, deduplicating, and extracting data from large literature corpora.
CategoryRAGRAG
PricingFreemium· Free open-source; LlamaCloud paidFreemium· Free forever for basic use; enterprise custom pricing
ModelBYO (Claude / GPT / open)—
Editorial score8.7 / 10—
Use cases
RAGdata ingestionindexing
systematic-reviewliterature-screeningdeduplicationdata-extractionmeta-analysisresearch-collaboration
Pros
  • Focused on retrieval (not general agent stuff)
  • Many ingestion connectors
  • Strong production patterns
  • LlamaCloud for managed ingestion
  • Purpose-built for systematic reviews, not retrofitted from a generic tool
  • Handles up to 200,000 references with robust deduplication
  • AI prioritization meaningfully cuts manual screening time
  • Free tier is genuinely usable for solo researchers
  • Mobile + offline support is rare in this category
Cons
  • API surface is large
  • Documentation can be hard to navigate
  • Proprietary SaaS with no self-hosted option
  • Enterprise pricing opaque, requires sales contact
  • AI features are workflow-bound, not a general RAG interface
Websitewww.llamaindex.airayyan.ai
Pick LlamaIndex if
  • ✅ Focused on retrieval (not general agent stuff)
  • ✅ Many ingestion connectors
  • ✅ Strong production patterns
  • ✅ LlamaCloud for managed ingestion
Pick Rayyan if
  • ✅ Purpose-built for systematic reviews, not retrofitted from a generic tool
  • ✅ Handles up to 200,000 references with robust deduplication
  • ✅ AI prioritization meaningfully cuts manual screening time
  • ✅ Free tier is genuinely usable for solo researchers
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