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This article explains the RAG-Anything framework, a multimodal extension of Retrieval-Augmented Generation that retrieves and integrates information across text, tables, equations, and images.
Learn to build a high-precision retrieve-and-rerank pipeline using the zeroentropy/zerank-2-reranker model, combining fast retrieval with advanced reranking for improved search quality.
This article explains Tencent's open-sourced TencentDB Agent Memory, a 4-tier local memory system for AI agents that combines symbolic and vector memory representations to improve efficiency and accuracy.
