<ul><li>Kernel Memory is a library for document indexing, web scraping, and question answering in .NET.</li><li>It allows for indexing information from various sources and provides search and question answering capabilities.</li><li>Using Kernel Memory involves a builder API, importing documents, and asking questions to an LLM.</li><li>It supports various vector storage solutions and LLMs like OpenAI, Anthropic, and more.</li><li>The library enables local hosting of LLMs and on-network data storage.</li><li>A C# demo application is explored, showcasing the creation of a Kernel Memory instance.</li><li>Configuration settings are read from appsettings.json and used in creating the memory instance.</li><li>Kernel Memory supports importing data from raw strings, web pages, and various document formats.</li><li>Search and question answering can be performed using SearchAsync and AskAsync methods.</li><li>Kernel Memory extensions allow for customization and integration with other systems like Semantic Kernel.</li></ul>

Document Search in .NET with Kernel Memory

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