Discover the power of End-to-End RAG implementation integrating Qdrant and Azure OpenAI for advanced evaluation metrics.
Our comprehensive solution harnesses the RAG triad, encompassing context relevance, groundedness, and answer relevance, ensuring robust assessment and mitigating free-form hallucination in LLM apps.
Delve into detailed explanations and hands-on demonstrations, including building metrics from scratch.
Explore our code repository for seamless integration: github.com/amb....
Elevate your understanding and implementation of RAG with our innovative approach.