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RAGFlow vs Phoenix

Side-by-side comparison of features, pricing, and ratings

RAGFlow
RAGFlow

Open-source RAG engine for building reliable AI agent context layers.

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Phoenix
Phoenix

Open-source platform for AI agent tracing and evaluation

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Pricing
Freemium
Freemium
Plans
$0/mo (Apache 2.0)
$99/mo
Custom
$0/mo (open-source)
$0/mo (managed cloud)
Custom
Popularity
5.4k views
7.0k views
Skill Level
Advanced
Intermediate
API Available
Platforms
WebAPI
WebAPICLI
Categories
📊 Data & Analytics Productivity
💻 Code & Development📊 Data & Analytics
Features
Built-in ETL ingestion pipeline for multi-format data
Hybrid search (vector, BM25, custom scoring, re-ranking)
Visual AI agent orchestration platform
Model Context Protocol (MCP) integration
Multi-agent workflow builder
Dataset management for rich semantic representation
Industry-specific solutions (finance, legal, manufacturing, education)
Unified retrieval from documents, images, and data sources
Web search integration within workflows
Credit-based usage tracking (500 credits/month free)
Team collaboration with multiple apps and members
BYOC and on-premises deployment for Enterprise
Custom SLA and dedicated support for Enterprise
Community support via GitHub and Discord
Agent tracing: prompts, retrievals, tool calls, outputs
LLM-as-judge evaluations for scoring outputs
Annotation workflows with human review
Dataset creation from traces
Experiment runner for hypothesis testing
Prompt IDE for iterative prompt optimization
Evaluation on cost, latency, and performance
Self-hosting on Docker or Kubernetes
Cloud instances with no infrastructure setup
Vendor-agnostic: support for any model or framework
OpenTelemetry native support
Integrations
LlamaIndex
OpenTelemetry
NVIDIA NeMo Agent Toolkit
Docker
Kubernetes