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What is SciPhi?

SciPhi is a platform for building and deploying Retrieval-Augmented Generation (RAG) systems without managing complex infrastructure. RAG combines language models with document retrieval, allowing applications to answer questions based on specific documents or knowledge bases. The platform handles ingestion of documents in multiple formats, provides integrations with various LLM providers and vector databases, and offers one-click deployment to production. Teams can version their pipelines through GitHub integration, self-host using Docker, or rely on managed hosting. SciPhi is designed for AI developers, data teams, and organisations building applications that need to search and reason over their own documents.

Key Features

Multi-format document ingestion

Accepts PDF, CSV, DOCX, JSON, HTML, and text files

One-click deployment

Deploy production-ready RAG pipelines without complex configuration

Flexible model integration

Choose from multiple LLM and vector database providers

GitHub integration

Version control and deploy pipelines directly from repository links

Self-hosting with Docker

Run on private infrastructure for compliance or control

Automatic scaling

Infrastructure adjusts resources based on usage demand

Pros & Cons

Advantages

  • Significantly reduces time and complexity in deploying RAG systems compared to building from scratch
  • Supports most common document formats out of the box, covering typical business data sources
  • Offers both managed and self-hosted options for different organisational needs
  • Compatible with major LLM services and vector databases, reducing vendor lock-in

Limitations

  • Pricing is not transparent on the website; enterprise customers must contact sales
  • May have limitations for highly specialised RAG workflows requiring custom components
  • Self-hosting requires Docker and infrastructure expertise; not as simple as the managed option

Use Cases

Internal knowledge bases that answer questions about company documents and policies

Customer support systems that retrieve relevant documentation to assist responses

Research tools that search and summarise information from large document collections

Compliance and legal tools that locate and reason about regulatory or contractual documents

Educational platforms providing answers based on course materials and textbooks