pathwaycom/llm-app
Ready-to-run cloud templates for building real-time RAG, AI pipelines, and enterprise search applications that synchronize with various live data sources.
Awesome Infra for AI › Vector Databases & Retrieval Infrastructure
VectifyAI/PageIndex
PageIndex offers a novel approach to Retrieval-Augmented Generation (RAG) by moving away from traditional vector databases and chunking methods. It addresses the limitations of similarity-based retrieval, which often falls short in handling complex professional documents requiring deep reasoning. Instead, PageIndex creates a hierarchical tree index from long documents, mimicking how human experts navigate and extract information. LLMs then perform reasoning-based retrieval through a tree search, ensuring high relevance and context awareness. This method provides better traceability and explainability, as retrieval steps are grounded in explicit page and section references, offering transparency that opaque vector search often lacks. Key features include the absence of vector databases and chunking, enabling truly context-aware retrieval that adapts to conversation history and domain knowledge. The system has demonstrated state-of-the-art accuracy on benchmarks like FinanceBench, outperforming vector-based solutions. PageIndex is available for self-hosting, as a cloud service via a chat platform or API, and through enterprise deployments, making it a flexible solution for various use cases requiring precise, reasoning-driven document analysis.
https://github.com/VectifyAI/PageIndex
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