Truvec - Find out why your RAG retrieves the wrong answers

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Test embedding models, chunking, hybrid search and rerankers against your own documents. Identify what improves retrieval, what breaks it, and what it costs before changing your production pipeline. No provider API keys.

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Hello Product Hunt 👋 I’m Abdesslem, the maker of Truvec. I built it because I kept seeing teams struggle when migrating from one embedding model to another. Truvec started as a simple way to compare embedding models on your own documents. It now goes further: 🔍 Compare retrieval strategies side by side on your real data 🐞 Debug failing questions to see exactly why the right chunk wasn't retrieved ⚙️ Experiment in a few clicks: add a reranker, change your chunking, swap the embedding model, or turn on BM25 hybrid search, then see how each change affects the results for every question The goal is simple: you shouldn't have to guess whether a RAG change helps or hurts. You should be able to measure it. I’d love your feedback, especially if you’ve been through an embedding migration or are tuning a RAG pipeline right now. What would make Truvec more useful for you? Thanks for checking it out! 🙏

Thanks for the initiative, can I connect my own vector database?