Contextual AI
Overview
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.
Resources
The resources are broken into categories:
- Hands on Learning: Build your technical understanding with end-to-end tutorials.
- Read and Listen: Develop your conceptual understanding of these technologies.
Hands-on Learning
Contextual AI Parser + Weaviate
Learn how to use Contextual AI's Parser with Weaviate to build powerful RAG applications over PDF documents.
Open →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.
Open →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.
Open →