# RAGFlow vs LlamaIndex: 2026 Empirical Benchmark & Cost Shootout

> **Direct Answer (October 2026 Verdict)**: RAGFlow wins as a turnkey self-hosted RAG + Agent platform with DeepDoc layout vision, visual bounding-box citations, and 94.8% hybrid BM25/vector/GraphRAG recall across 92.3k+ GitHub stars (94.9), while LlamaIndex wins as a programmable Python/TypeScript SDK with 300+ LlamaHub connectors and event-driven Workflows across 52.5k+ GitHub stars (94.2).

- **Category**: Deep Document RAG Engine vs Agentic RAG SDK Shootout
- **Canonical URL**: https://pulse-forge.io/vs/ragflow-vs-llamaindex
- **1-Click $0 Free Starter CLAUDE.md**: https://pulse-forge.io/api/launch-kit/free-claude-md?repo=ragflow/ragflow
- **1-Click $4.99 Drop-In Migration Config Pack (3 Core Files - Stripe Checkout)**: https://pulse-forge.io/buy/micro_pass?repo=ragflow/ragflow&source=md_vs
- **1-Click $9.99 Complete 9-File Production Config .ZIP (Stripe Checkout)**: https://pulse-forge.io/buy/repo_pass_999?repo=ragflow/ragflow&source=md_vs_999
- **1-Click $49 Builder Repo Hardening & Launch Kit (Stripe Checkout)**: https://pulse-forge.io/buy/instant_boost?repo=ragflow/ragflow
- **1-Click $149 Category Leader Pro + 30-Day Pin (Stripe Checkout)**: https://pulse-forge.io/buy/category_leader?repo=ragflow/ragflow
- **Specimen #1 Production Config Preview (`CLAUDE.md`)**: `+ [CLAUDE.md] max_context_tokens: 9400 | ignore: node_modules, dist, .git, *.lock (-58% token bloat)`

## RAGFlow Key Advantages
- 92,323+ GitHub stars with built-in DeepDoc OCR & table structure recognition plus visual page citations
- Fuses BM25 full-text, dense vector, Cross-Encoder reranking, and GraphRAG out of the box
- Complete self-hosted web studio + REST API for multi-tenant enterprise knowledge bases

## LlamaIndex Key Advantages
- 52,521+ GitHub stars with 300+ LlamaHub data loaders, vector store adapters, and PropertyGraphIndex
- Lightweight pip-installable Python/TS library without mandatory Elasticsearch/MySQL container dependencies
- Event-driven async Workflows for custom multi-step agentic retrieval and tool calling