SciPhi
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About
SciPhi's R2R (Reason to Retrieve) is an advanced AI retrieval system designed for production-ready Retrieval-Augmented Generation (RAG). It helps developers bridge the gap between prototyping and launching robust AI applications. R2R offers features like multimodal ingestion, GraphRAG, and agentic RAG. It is designed for enterprise-grade RAG infrastructure, providing reliable context-aware AI applications with advanced hybrid search and complete user controls. It supports processing millions of documents across 40+ formats and offers secure document sharing with granular permissions.
Platform
Task
Features
• document management
• universal document processing
• automatic knowledge graphs
• ingestion
• agentic rag
• enterprise access control with granular permissions
• complete user controls
• advanced hybrid search
Pricing Plans
Free Cloud
Unknown Price• 300 RAG Requests / month
• 3,000 Searches / month
• Up to 100 files (max 100k chunks)
• 1 GB File Storage
• Community & Docs Support
• Guided Tutorials Onboarding
Dev Cloud
$25.00 / /Month• 3,000 RAG Requests / month
• 3,000 Searches / month
• 1,000 files (max 1M chunks)
• 10 GB File Storage
• Community & Email Support
• Guided + Consultation Onboarding
Enterprise
Unknown Price• Custom / Unlimited RAG Requests
• Custom / Unlimited Searches
• Unlimited Files
• Unlimited File Storage
• Available Self-Hosting (Docker / K8s)
• Dedicated Team & SLA Support
• 1-Hour Response & Concierge Onboarding
Job Opportunities
Research Engineer
SciPhi provides an AI retrieval system (R2R) for production-ready RAG, offering features like multimodal ingestion, knowledge graphs, and enterprise-grade security for building context-aware AI applications.
Experience Requirements:
You’ve trained, fine-tuned, or served state-of-the-art deep learning models.
You’re comfortable digging into ambiguous research problems and turning ideas into prototypes.
You enjoy playing with large datasets, building data pipelines, and innovating with new model architectures.
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Infrastructure Engineer
SciPhi provides an AI retrieval system (R2R) for production-ready RAG, offering features like multimodal ingestion, knowledge graphs, and enterprise-grade security for building context-aware AI applications.
Experience Requirements:
You have experience with container orchestration (e.g., Kubernetes, Docker) and distributed systems.
You’ve tackled large-scale production challenges—database sharding, queue orchestration, or microservice architecture.
You’re a systems thinker who loves optimizing at every level of the stack.
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Product Engineer
SciPhi provides an AI retrieval system (R2R) for production-ready RAG, offering features like multimodal ingestion, knowledge graphs, and enterprise-grade security for building context-aware AI applications.
Experience Requirements:
You have a knack for building intuitive UIs and seamless user experiences.
You blend design thinking with solid engineering skills.
You enjoy iterating quickly based on real user feedback.
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Ratings & Reviews
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