RAG
maaz7409ConceptsUsed in 1 project
Retrieval-augmented generation: grounding LLM answers in documents.
Used in
- Enterprise RAG System with LLM-as-a-Judge
Hybrid-retrieval RAG with an LLM judge that scores every answer for faithfulness, relevance and toxicity.
enterprise_rag.py · stack: RAG
