Build knowledge agents without embeddings

The Knowledge Agent Template is an open-source, file-system-based agent designed to simplify the deployment and customization of knowledge agents by eliminating the need for vector databases, embedding models, and chunking pipelines. Built on Vercel Sandbox, AI SDK, and Chat SDK, it allows for the integration of multiple data sources and platforms like GitHub, YouTube, and Discord, using simple filesystem commands such as grep, find, and cat for deterministic and explainable search results. This innovative approach leverages large language models' inherent understanding of filesystems to improve efficiency and reduce costs, offering a more transparent and debuggable alternative to traditional vector-based systems. The template supports deep integration with various AI SDK models, automated cost optimization based on question complexity, and includes built-in admin tools for comprehensive management and troubleshooting.