LLM Reference

Using Contextual Language Model on Contextual AI API

Implementation guide · Contextual Language Model · Contextual AI

Serverless

Quick Start

  1. 1
    Create an account at Contextual AI API and generate an API key.
  2. 2
    Use the Contextual AI API SDK or REST API to call contextual-lm — see the documentation for request format.

Code Examples

See Contextual AI API documentation for integration details.

About Contextual AI API

Contextual AI's platform offers RAG-native language models via API, designed for enterprise knowledge management, document understanding, and grounded text generation.

Contextual AI provides API access to RAG-native language models purpose-built for enterprise knowledge tasks. Their models integrate retrieval-augmented generation at the architecture level, delivering grounded text generation with reduced hallucination.

Pricing on Contextual AI API

Capabilities

No model capability flags are currently sourced.

About Contextual Language Model

Contextual Language Model is a RAG-native model from Contextual AI that trains the retriever and language model end-to-end, outperforming RAG baselines built on GPT-4 for enterprise knowledge tasks.

Model Specs

Released2024-06-01
ArchitectureDecoder Only

Provider

Contextual AI API

Contextual AI

San Francisco, California, United States