Content To Question Generation With Llm Based Extraction

via “llm-driven entity and relationship extraction from unstructured text”

A modular graph-based Retrieval-Augmented Generation (RAG) system

Unique: Uses a modular workflow system with pluggable LLM providers and configurable extraction schemas, enabling domain-specific entity/relationship definitions without code changes. Implements provider-agnostic rate limiting and retry logic at the LLM integration layer, allowing seamless switching between OpenAI, Azure, Anthropic, and local Ollama without pipeline modifications.

vs others: More flexible and provider-agnostic than LangChain's extraction chains, and more structured than simple prompt-based extraction, with built-in support for multi-provider failover and domain-specific schema customization.