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openrag_sdk

Guide OpenRAG SDK integration across Python, TypeScript, FastAPI, Express, and React.

4.4k|456|Updated Jul 11, 2025
Search Tags:#typescript#documentation#integration#python#sdk#chat#openrag
One-click install
npx skills add https://github.com/langflow-ai/openrag --skill openrag-sdk
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openrag_sdk
Source: https://github.com/langflow-ai/openrag/tree/main/plugins/openrag/skills/sdk
Command: npx skills add https://github.com/langflow-ai/openrag --skill openrag-sdk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Guides developers through integrating the OpenRAG SDK into applications, providing language-specific setup, examples, and best practices to accelerate AI-powered features.

Core Features & Use Cases

  • Install and configure the Python and TypeScript SDKs to enable chat, search, and document workflows
  • Use guided configuration patterns for authentication and base URL, with runnable code samples
  • Follow end-to-end patterns for common app types (FastAPI, Express, React, Next.js) including error handling and testing

Quick Start

Install the appropriate OpenRAG SDK for your language, configure authentication and base URL, and adapt the provided code samples to build a basic chat integration.

Frequently Asked Questions about openrag_sdk

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate OpenRAG SDK into my Python or TypeScript app?▼

You can integrate the OpenRAG SDK by installing the language-specific package, configuring authentication and base URL, and adapting the provided chat, search, and document ingestion code samples to your application structure.

Can I use OpenRAG SDK with frameworks like FastAPI, Express, or React?▼

Yes, the OpenRAG SDK supports integration with FastAPI, Express, React, and Next.js by providing end-to-end patterns that include authentication setup, chat workflows, and robust error handling for these specific frameworks.

What is the best way to configure authentication and base URL for OpenRAG chat workflows?▼

The best way to configure authentication and base URL for OpenRAG chat workflows is to follow the guided configuration patterns provided in the SDK, which ensure consistent setup across Python and TypeScript implementations.

How do I handle errors when setting up document ingestion and search with OpenRAG?▼

You handle errors in OpenRAG document ingestion and search by applying the robust error handling and testing patterns included in the SDK's integration samples to ensure reliable AI-powered features.

Does OpenRAG SDK provide language-aware integration patterns for both Python and TypeScript?▼

Yes, OpenRAG provides structured, language-aware integration workflows for both Python and TypeScript, ensuring consistent setup, usage, and documentation across different development environments.

What are the limitations of using OpenRAG SDK for AI app development?▼

OpenRAG SDK requires adherence to its structured configuration blocks and language-specific setup patterns, meaning developers must follow the provided code samples closely to avoid integration errors and ensure robust testing.

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