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A document parser designed for RAG use cases, which achieves superior accuracy and reliability by excelling in the following areas:
1. Document-level understanding
2. Minimized hallucinations
3. Superior handling of complex modalities
Document Parser by Contextual AIMultimodal document parser designed for RAG systems
This is the first reranker that can follow custom instructions about how to rank retrievals (e.g. recency, source, metadata, etc.). Our reranker is the most accurate in the world, outperforming competitors by large margins on the industry-standard benchmarks.
Reranker by Contextual AIThe world's first instruction-following reranker