Efficient Retrieval Augmentation and Generation Framework
fastRAG is an efficient retrieval-augmented generation framework developed by Intel Labs, designed to enhance the efficiency of information retrieval and content generation. This framework integrates the latest natural language processing techniques and machine learning algorithms, making it suitable for applications that require efficient processing of large volumes of text data.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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"text": "高效的检索速度, 强大的内容生成能力, 易于集成到现有系统中"
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