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MODE
RAG reimagined for small data: no vectors, no re-rankers
MODE is a lightweight RAG framework designed for small to medium-sized datasets. It replaces vector databases and re-rankers with document clustering and centroid-based retrieval for efficient generation.
“RAG reimagined for small data: no vectors, no re-rankers”
MODE was submitted on Product Hunt and earned 13 upvotes and 0 comments, placing #43 on the daily leaderboard. MODE is a lightweight RAG framework designed for small to medium-sized datasets. It replaces vector databases and re-rankers with document clustering and centroid-based retrieval for efficient generation.
Who hunted MODE?
MODE was hunted by Rahul Anand. 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.
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Rahul Anand