RagTune helps inspect, debug, benchmark, and tune retrieval for retrieval augmented generation systems.
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Open-RAG-Eval evaluates retrieval-augmented generation without requiring golden answers.
About Open-RAG-Eval
Open-RAG-Eval is a public GitHub repository for evaluating retrieval-augmented generation without requiring golden answers. The project is published under the Apache-2.0 license, and its source code is hosted at github.com/vectara/open-rag-eval.
Pricing is not clearly stated.
Best for: RAG evaluation without golden answers.
Open-RAG-Eval at a glance
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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