This is the Windows app named Advanced + Agentic RAG Cookbooks whose latest release can be downloaded as rag-cookbookssourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Advanced + Agentic RAG Cookbooks
DESCRIPTION
Athina AI’s RAG Cookbooks is a GitHub repository that showcases advanced and agentic Retrieval-Augmented Generation techniques for building more accurate AI applications. It provides ready-to-use notebooks, implementations, and explanations that help developers move from basic RAG setups to more sophisticated workflows. Athina AI’s RAG Cookbooks covers the full RAG pipeline, including indexing, retrieval, augmentation, and generation, while also addressing evaluation to measure accuracy and relevance. It includes multiple approaches such as hybrid search, contextual compression, and agent-based retrieval strategies, allowing users to experiment and compare methods. It is designed to reduce development time by offering practical examples and references to research papers, making it useful for both learning and production use. Overall, it serves as a hands-on resource for improving LLM outputs using external data sources.
Features
- Collection of advanced and agentic RAG techniques with clear implementations
- End-to-end notebooks covering indexing, retrieval, and response generation
- Includes evaluation methods to measure accuracy and relevance of outputs
- Supports multiple approaches like hybrid, contextual, and corrective RAG
- Provides research references for deeper learning and experimentation
- Designed to speed up development with ready-to-use examples and workflows
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/advanced-agentic-rag.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
