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Founders & Solo Creators Arena Rank #48

RAGFlow

infiniflow/ragflow · Author: @infiniflow

View on GitHub

Arena ELO

1315

±16

Total Stars

91.8k

+182.3% w/w

Monthly Traffic

850k/mo

1.0x vs median

Search Demand

140,000/mo

+190% YoY

Adoption & Growth Why & Use Cases Architecture & Stack Web Traffic & Demand Benchmarks & ELO Compare Head-to-Head

12-Month Adoption & Star Velocity +182.3% w/w

Empirical star trajectory for RAGFlow vs Category Median benchmark. Hover along points to inspect exact monthly stats.

RAGFlow Category Median

GROWTH VELOCITY

+182.3%

2.8x vs category median

ARENA ELO SCORE

1315

+123 vs category median

WEB VISITS MOMENTUM

850k/mo

1.0x category median

LATENCY EFFICIENCY

35ms

1.1x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, RAGFlow holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +182.3% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose RAGFlow

Open-source RAG engine based on deep document understanding with fine-grained chunking templates.

Verified Real-World Production Workflow

Primary Implementation:

Extract structured intelligence from complex PDFs, Excel sheets, and slides with zero hallucinations.

Engine Stack & Dependencies:

Python, DeepDoc OCR, Elasticsearch, Infinity tensor engine.

Target Persona & Role Fit

Full-Stack AI Engineers

Engineered and benchmarked specifically for Full-Stack AI Engineers demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/infiniflow/ragflow

Technical Specification (ASD-STE100)

Open-source RAG engine based on deep document understanding with fine-grained chunking templates.

Architecture: Python, DeepDoc OCR, Elasticsearch, Infinity tensor engine.

Domain Tags & Keywords

#rag#deepdoc#document-ai#retrieval

Compute Efficiency Profile

P95 EXECUTION LATENCY

35ms

1.1x faster than median

TOKEN EFFICIENCY SAVINGS

-88%

Measured via context pruning

HEAD-TO-HEAD WIN RATE

88%

Arena paired matches

Monthly Documentation & Site Visits

850k/mo

Measured via Traffic Research bypass engine (1.0x category median)

Google Search Keyword Demand

140,000/mo

+190% YoY expansion

6-Month Web Traffic Velocity

Traffic momentum vs Category Median (850k visits/mo benchmark).

RAGFlow Median

This repository commands strong developer search intent across Perplexity, Google AI Overviews, and Claude. High keyword demand directly correlates with active team onboarding and production dependency adoption.

Arena ELO Rating Stability

Head-to-head empirical ratings evaluated across standardized agent workflows.

1315

±16 CI

WIN RATE

88%

Head-to-head

WEEKLY SURGE

+182.3%

Adoption velocity

P95 LATENCY

35ms

Execution speed

TOKEN OVERHEAD

-88%

Context saved

Head-to-Head Comparison — RAGFlow vs 300 Skills

Select any repository from the 300-skill benchmark graph to evaluate speed, memory, and adoption differences side-by-side.

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