Building AI search systems? Stop digging through scattered documentation. RAGnosis searches thousands of expert articles simultaneously and synthesizes one clear answer. Ask questions, troubleshoot issues, find solutions that are backed by multiple authoritative sources.
Hey Product Hunt 👋
I'm Takumi. I built RAGnosis because getting clear answers about AI search and retrieval systems started getting complex.
The problem: Whether you're exploring these systems for the first time, trying to implement one, or fixing issues with an existing setup, the knowledge is scattered across dozens of sources. You need to understand concepts, compare approaches, and find solutions that actually work.
What RAGnosis does:
• Searches thousands of articles from leading AI frameworks
• Synthesizes one clear answer with sources
• Covers concepts, implementation details, and troubleshooting
• Pulls from multiple expert sources instead of making you guess which documentation to trust
I used RAGnosis while building it. When I got stuck on implementation decisions, I'd query the system for answers. It helped me build a better version of itself.
Try it: ragnosis.app
Code: github.com/takumi-watanabe-ai/RAGnosis
What's your biggest pain point when building AI systems? Curious what would make this actually useful for you.
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About RAGnosis on Product Hunt
“Search thousands of RAG and AI engineering articles at once”
RAGnosis was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #156 on the daily leaderboard. Building AI search systems? Stop digging through scattered documentation. RAGnosis searches thousands of expert articles simultaneously and synthesizes one clear answer. Ask questions, troubleshoot issues, find solutions that are backed by multiple authoritative sources.
RAGnosis was featured in Open Source (68.3k followers), Developer Tools (511k followers), Artificial Intelligence (466.2k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 182.5k products, making this a competitive space to launch in.
Who hunted RAGnosis?
RAGnosis was hunted by Takumi Watanabe. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how RAGnosis stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Takumi Watanabe