v1.0.0 – Initial Release

🎉 First stable release of RAGSharp!

RAGSharp is a lightweight, extensible Retrieval-Augmented Generation (RAG) library for .NET.
It provides minimal, clean components for building RAG pipelines:

• Document loading (files, directories, web, Wikipedia)
• Token-aware text splitting
• Embeddings (OpenAI-compatible, extensible to other providers)
• Vector stores (in-memory, file-backed, pluggable for DBs)
• Retriever orchestrating the whole flow

This release includes:

• FileLoader, DirectoryLoader, UrlLoader, WebSearchLoader
• RecursiveTextSplitter with SharpToken tokenizer
• InMemoryVectorStore & FileVectorStore
• RagRetriever with logging support
• SampleApp with examples (QuickStart, Files, Web, Advanced)

MIT licensed. Suitable for prototypes and production apps where simplicity matters.

Full Changelog: https://github.com/MrRazor22/RAGSharp/commits/v1.0.0