A RAG Library for Elixir

Bitcrowd introduces a new RAG library, 'rag', designed for building RAG systems using Elixir. This library supports orchestration of RAG via integrations with LLMs and ML models. Key features include a flexible framework for interacting with local models and APIs, allowing seamless integration and execution. The blog post emphasizes Elixir's advantages for scalable and reliable AI systems, contrasting the 'rag' library's simplicity and streamlined design with Python's extensive ecosystems. The article discusses RAG's components, including ingestion, retrieval, generation, evaluation, and telemetry, making Elixir a viable option for developers in the complex AI workflow landscape.

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