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About NoRag on Product Hunt
“NoRag — RAG without vectors”
NoRag was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #33 on the daily leaderboard. Document Q&A without vector embeddings. LLM-driven routing over Markdown indexes. Two pipelines: L1 and Multi_L.
NoRag was featured in Developer Tools (511.7k followers), Artificial Intelligence (467.2k followers), GitHub (41.2k followers) and Tech (622.4k followers) on Product Hunt. Together, these topics include over 338.8k products, making this a competitive space to launch in.
Who hunted NoRag?
NoRag was hunted by SuperGmaX. 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 NoRag stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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