The most advanced
AI retrieval system
Start your AI application with agentic RAG, ingestion, document management, and more.
We built R2R to bridge the gap from RAG prototypes to production, solving challenges in infrastructure, retrieval, and scale for extraordinary AI applications.
Enterprise-Grade RAG Infrastructure
Build reliable, context-aware AI applications with advanced hybrid search, automatic knowledge graphs, and complete user controls.
Universal Document Processing
Process millions of documents across 40+ formats - from PDFs and spreadsheets to audio files. Connect your knowledge base in minutes, not months.
Enterprise Access Control
Secure document sharing with granular permissions down to the document level. Organize content into collections and manage access across teams with just a few lines of code.
Advanced Document Intelligence
Automatically map relationships and enrich context across your documents. Build comprehensive knowledge graphs to uncover hidden insights and organize information effectively.
Driving Results That Matter.
Highlighting achievements and milestones powered by R2R technology.
Achieved with HybridRAG, combining knowledge graphs and vector retrieval for precise and context-rich responses.
Compared to traditional RAG frameworks, thanks to streamlined configurations and auto-scaling.
Trusted by enterprises, showcasing satisfaction and long-term partnership value.
Optimized infrastructure reducing operational expenses for clients.
R2R: Redefining Retrieval-Augmented Generation for Scalable AI Solutions
Simplifying Deployment and Scaling of RAG for Developers
from r2r import R2RClient
client = R2RClient("<your-r2r-url>")
client.documents.create(
file_path="path/to/deepseek.pdf"
)
response = client.retrieval.rag(
query="What is DeepSeek R1?",
rag_generation_config={
"model": "anthropic/claude-3.5",
"temperature": 0.0
},
search_settings={
"use_hybrid_search": True,
"limit": 25
}
)
# Server log:
# 2024-12-04 17:24:59 - Successful ingestion for document_id:
c3291abf-8a4e-5d9d-80fd-232ef6fd8526, with vector count: 412
# 2024-12-04 17:24:59 - "**POST /v3/documents HTTP/1.1**" 200 OK
# 2024-12-04 17:25:02 - Retrieved 25 relevant chunks for query 'Who was Aristotle?' using hybrid search
# 2024-12-04 17:25:03 - Generated response using gpt-4-mini (temp=0.0)
# 2024-12-04 17:25:03 - "**POST /v3/retrieval/rag HTTP/1.1**" 200 OK
Most developer friendly API
Simplifying Deployment and Scaling of RAG Pipelines for Developers
State of the art evaluation benchmarks
Simplifying Deployment and Scaling of RAG Pipelines for Developers
HybridRAG Technology
Simplifying Deployment and Scaling of RAG Pipelines for Developers
Knowledge Graphs
Simplifying Deployment and Scaling of RAG Pipelines for Developers
Seamless deployment
Simplifying Deployment and Scaling of RAG Pipelines for Developers
[placeholder]SciPhi’s R2R platform revolutionized our workflows. HybridRAG delivers accurate, context-rich answers, while the platform’s speed and scalability saved us weeks of development time. It’s a must-have for any data-driven project.[placeholder]
It’s a must-have for any data-driven project. SciPhi’s R2R platform revolutionized our workflows. HybridRAG delivers accurate, context-rich answers, while the platform’s speed and scalability saved us weeks of development time. It’s a must-have for any data-driven project.
R2R is the cornerstone of advanced AI retrieval, and we've seen its potential firsthand while working with Robovision. Its production-ready features—like multimodal ingestion, GraphRAG and agentic RAG —make it the ultimate solution. It's a game-changer for building intelligent, future-ready systems.
Working with SciPhi has been transformative for Agora. Their cutting-edge approach to RAG (Retrieval-Augmented Generation) and relentless focus on innovation has empowered us to scale our vision faster and more effectively.
Working with SciPhi is a genuine game-changer. Their blend of technical expertise, user focus, and leadership is nothing short of inspiring. I’m always impressed by how they balance innovation with practical solutions that drive real impact.
R2R has always been a core piece of infrastructure for KindredPM, taking us from zero to a revenue-generating startup in 5 months. The best part about working with SciPhi team is their responsiveness and the trust that we've built together.
Ready to
accelerate
Your AI Projects?
Start your journey with SciPhi.ai and transform how you manage data and AI workflows.