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MariaDB AI RAG reference section provides complete environment variable documentation, supported file formats, and integration patterns for connecting the REST API to external systems.

This section provides detailed reference information for configuring and integrating the MariaDB AI RAG system.

Documentation in This Section

Complete reference for all environment variables:

  • Database configuration

  • API keys and secrets

  • Embedding provider settings

  • LLM provider configuration

  • Service ports and hosts

  • Authentication settings

List of supported document formats for ingestion:

  • PDF documents

  • Microsoft Office files (DOCX, XLSX, PPTX)

  • Text files (TXT, MD, CSV)

  • Code files (Python, JavaScript, Java, etc.)

  • And more

Guide for integrating the RAG API with external systems:

  • REST API integration examples

  • Authentication workflows

  • Client library usage

  • Document management system integration

  • Business intelligence tool integration

  • Custom application integration

Configuration Best Practices

When configuring your MariaDB AI RAG deployment:

  1. Security: Always use strong secrets for JWT tokens and API keys

  2. Performance: Configure appropriate batch sizes for your workload

  3. Scalability: Set connection pool sizes based on expected load

  4. Monitoring: Enable logging and health check endpoints

  5. Integration: Use environment variables for flexible deployment

Additional Resources

This page is: Copyright © 2025 MariaDB. All rights reserved.

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