RAG Without Vectors: How PageIndex Retrieves by Reasoning

Retrieval is where most RAG systems quietly break. Traditional pipelines rely on vector similarity—embedding queries and document chunks into the same space and fetching the “closest” matches. But similarity is a weak proxy for what we actually need: relevance grounded in reasoning. In long, professional documents—like financial reports, research papers, or legal texts—the right answer […] The post RAG Without Vectors: How PageIndex Retrieves by Reasoning appeared first on MarkTechPost .