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Bring Knowledge from Anywhere

Enterprise AI is only as powerful as the knowledge it can access. Ragfish Connectors make it easy to import, process, and prepare information from different business systems, documents, and data sources. Whether your knowledge lives in spreadsheets, PDFs, databases, websites, or collaboration platforms, connectors provide a consistent way to transform that information into searchable AI knowledge

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Why Connectors?

Every organization stores information differently. Some teams work with Excel spreadsheets.

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Others manage knowledge in PDFs, websites, documentation portals, databases, or collaboration platforms like Notion and SharePoint. Without connectors, every AI project starts by writing custom data import code.

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Ragfish eliminates this repetitive work by providing reusable connector packages that understand different data sources and prepare them for Retrieval-Augmented Generation (RAG). Instead of worrying about how to import data, developers can focus on building intelligent AI experiences.

Connector Architecture

Every connector follows the same architecture.

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Regardless of where your data originates, every connector transforms it into a format that the Ragfish Core Framework can process consistently.

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Connector

Connectors import knowledge from different business systems.

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Current Connector

Spreadsheet

Spreadsheet

Future Connector

PDF
Database
Documents
Website
Notion
SharePoint
Google Drive
One Drive

Each connector focuses on extracting and preparing knowledge while the Core Framework handles indexing and retrieval.

One Framework, Many Data Sources

Ragfish separates data ingestion from AI processing. This means your application communicates only with the Core Framework, while connectors handle the complexity of reading different file formats and business systems.

This architecture allows every layer to evolve independently, making it easier to adopt new AI models, storage technologies, and data connectors without rewriting your application.

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Why Separate Connectors?

Modular

Install only the connectors your application requires.

Extensible

New connectors can be added without changing the Core Framework.

Flexible

Choose the technologies that best fit your application.

Maintainable

Independent packages make upgrades and maintenance easier.

Enterprise Ready

Connect AI applications to real-world business systems and documents.

Consistent

Every connector follows the same architecture and developer experience.

Typical Knowledge Journey

Every piece of business information follows the same lifecycle.

Business Data
Connector
Ingestion
Chunking
Embedding
Vector Store
AI Response

Built for Extension

The Core Framework intentionally focuses only on orchestration. Additional functionality is delivered through official Ragfish packages.

Built for Enterprise Knowledge

Organizations rely on information stored across many systems. By separating connectors into independent packages, Ragfish makes it easier to integrate new knowledge sources, maintain existing integrations, and expand AI applications over time without redesigning the underlying architecture.

Whether you're starting with spreadsheets today or planning to connect databases, documentation platforms, and cloud storage tomorrow, Ragfish provides a scalable foundation for enterprise knowledge integration.

Continue Your Journey

Connectors complete the knowledge ingestion layer of the Ragfish ecosystem.

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You're now ready to build your first AI application.