Documentation Index
Fetch the complete documentation index at: https://docs.contextual.ai/llms.txt
Use this file to discover all available pages before exploring further.
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.