openrag_sdk

Installation
SKILL.md

When the user asks to integrate the OpenRAG SDK or use OpenRAG in their application, follow this workflow.

Initial assessment phase

Before starting SDK integration:

  1. Identify the OpenRAG instance:
    • Determine the base URL (e.g., http://localhost:3000, https://api.example.com)
    • Check if authentication is required (API key)
    • Test API availability: curl <base_url> or curl <base_url>/health
  2. Identify the target application:
    • Programming language (Python, JavaScript/TypeScript)
    • Framework (if any): FastAPI, Flask, Express, React, Next.js, etc.
    • Project structure and existing dependencies
  3. Determine integration requirements:
    • RAG chat functionality (streaming or non-streaming)
    • Semantic search
    • Document ingestion and management
    • Knowledge filters
    • Conversation history management
    • Settings management
Installs
3
GitHub Stars
4.4K
First Seen
May 28, 2026
openrag_sdk — langflow-ai/openrag