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KBLaM: Knowledge Base Augmented Language Models for Enhanced LLMs
KBLaM, developed by Microsoft, is the official implementation of "Knowledge Base Augmented Language Models" presented at ICLR 2025. This innovative method enhances Large Language Models by directly integrating external knowledge bases, offering an efficient alternative to traditional Retrieval-Augmented Generation (RAG) and in-context learning. It eliminates external retrieval modules and scales computationally linearly with knowledge base size, rather than quadratically.
AingDesk: A User-Friendly AI Assistant with Local Model and Knowledge Base Support
AingDesk is a rapidly growing, easy-to-use AI assistant designed for both beginners and experienced users. It offers robust features including support for local AI models, mainstream model APIs, knowledge bases, intelligent agents, and web search. This open-source project, built with TypeScript, simplifies the deployment and management of AI tools.