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GabrielMBulgarelli/RAG is a single-user Retrieval-Augmented Generation (RAG) application that ingests documents, retrieves relevant context, and answers questions with citations and evaluation tools. The repository is actively maintained on GitHub.
GabrielMBulgarelli/RAG is a single-user Retrieval-Augmented Generation (RAG) application that ingests documents, retrieves relevant context, and answers questions with citations and evaluation tools. The repository is actively maintained on GitHub.
AI-assisted summary based on the listed source.
Single-user RAG application that ingests documents, retrieves relevant context, and answers questions through a workflow with citations and evaluation tooling. Stars: 0. Updated repository signal.
This tool enables users to build workflows that combine document retrieval with AI-generated answers, improving accuracy through citations and evaluation. It supports more reliable and transparent AI search experiences.
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VQV surfaced this signal because it is recent, relevant to AI Search, connected to GitHub.
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