Introducing the rag library for building RAG systems in Elixir

The rag library for Elixir provides a framework to build Retrieval-Augmented Generation (RAG) systems, allowing users to integrate various methods to interact with large language models and machine learning models. It supports local model calculations and HTTP API calls, emphasizing simplicity and ease of use compared to Python libraries. Rag facilitates the creation of ingestion pipelines, embedding calculations, result retrieval, and response generation. The library includes components for handling search, evaluation, and telemetry to ensure optimal performance. The demo project chatbot_ex showcases its capabilities by enabling users to query information about Ecto within a conversational interface. The developers plan future enhancements, such as reranking and query rewriting. Feedback and collaboration from users are encouraged to shape its development.