Open Source C# Semantic Search Tools

Kernel Memory is an open-source reference architecture developed by Microsoft to help developers build memory systems for AI applications powered by large language models. The project focuses on enabling applications to store, index, and retrieve information so that AI systems can incorporate external knowledge when generating responses. It supports scenarios such as document ingestion, semantic search, and retrieval-augmented generation, allowing language models to answer questions using contextual information from private or enterprise datasets. Kernel Memory can ingest documents in multiple formats, process them into embeddings, and store them in searchable indexes. Applications can then query these indexed data sources to retrieve relevant information and include it as context for AI responses.

RSSE: Really Simple Search Engine is a C#.NET library, that allows indexing of RSS feeds for use in a search engine. RSSE provides semantic search, custom weight functions for keywords, and binary operators in search queries (AND, OR)...