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SciPhi

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Feature this AI

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
Web
Keywords
knowledge graphragdocument processingenterprise aiai retrieval
Task
data retrieval

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

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SciPhi

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.

engineeringonsiteSan Francisco, CAfull-time

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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Explore AI Career Opportunities

Social Media

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