Contextual AI

Contextual AI offers a document Parser built for retrieval-augmented generation (RAG) systems. It enables agents to understand and navigate complex document structures.

Contextual AI and Weaviate

Parsed outputs can be stored in Weaviate for vector and hybrid search, metadata filtering, and RAG.

Our Resources

Hands on Learning: Build your technical understanding with end-to-end tutorials.

Hands on Learning

Topic	Description	Resource
Contextual AI Parser + Weaviate	Learn how to use Contextual AI's Parser with Weaviate to build powerful RAG applications over PDF documents.	Notebook
Generative Search with Contextual AI	This notebook demos how to use ContextualAI's generative model (v2) with Weaviate for RAG, combining hybrid search (sparse + dense) with generative search to answer questions based on retrieved Jeopardy data.	Notebook
Reranking with Contextual AI	This notebook demonstrates how to use Contextual AI's reranking model (ctxl-rerank-v2-instruct-multilingual) with Weaviate to improve search result quality.	Notebook