Renumics/renumics-rag

Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖❤️📚

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Established

This tool helps you build and understand a Retrieval-Augmented Generation (RAG) assistant. You provide your own collection of documents (like articles or internal wikis), and it creates an intelligent Q&A system. This system takes natural language questions as input and generates answers based on your documents, along with their sources. It's ideal for anyone looking to deploy or evaluate a custom knowledge base for answering user queries.

201 stars.

Use this if you need to create a question-answering system from your own documents and want to visualize how it retrieves information and generates responses.

Not ideal if you're looking for a simple chatbot that doesn't require grounding answers in specific documents or if you don't need to analyze the retrieval process.

knowledge-management question-answering information-retrieval data-analysis customer-support

No Package No Dependents

Maintenance 10 / 25

Adoption 10 / 25

Maturity 16 / 25

Community 21 / 25

How are scores calculated?

Stars

201

Forks

Language

Python

License

MIT

Compare

renumics-rag and Datavizion-RAG

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