microsoft/benchmark-qed🔥 active
Automated benchmarking of Retrieval-Augmented Generation (RAG) systems
[ICLR 2026] Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
$ git clone https://github.com/mohammadtavakoli78/BEAM.gitAutomated benchmarking of Retrieval-Augmented Generation (RAG) systems
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This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
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✅(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
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Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
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💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
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Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML
Data from GitHub · snapshot Nov 13, 2026