Overview
By accessing Contextual AI’s Generate API component, you can generate responses using Contextual AI’s Grounded Language Model (GLM), an LLM engineered specifically to prioritize faithfulness to in-context retrievals over parametric knowledge to reduce hallucinations in retrieval-augmented generation (RAG) and agentic use cases.Key Features
- State-of-the-art groundedness with top performance on FACTS and real enterprise benchmarks.
- Hallucination-resistant generation that prioritizes retrieved knowledge over training data.
- Inline source attributions for transparent, traceable responses.
- Reliable multi-turn reasoning that maintains grounding in long or complex workflows.
- RAG-optimized design built specifically for retrieval and agentic applications.
- Configurable groundedness via the avoid_commentary flag.
- Easy integration through
/generate, Python SDK, and LangChain examples. - Enhanced performance when used with the Contextual AI Platform’s unified RAG stack.