AST PageIndex redefines RAG with tree search | VentureBeatPageIndex, a new open-source framework, achieves 98.7% accuracy on complex document retrieval by using tree search instead of vector embeddings. The approach eliminates the need for dedicated vector databases.https://venturebeat.com/infrastructure/this-tree-search-framework-hits-98-7-on-documents-where-vector-search-failstable of contentSTAIR (STructure Aware Information Retriever): A novel dataset and...Retrieval Augmented Generation (RAG) is a key component for generating accurate and hallucination free answers using Large Language Models (LLMs). LLMs are improving at handling long context, but...https://arxiv.org/abs/2609.03874
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