This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Vectoria — Embedded Hybrid Search
A modern, embedded product search for modern platforms
Vectoria combines BM25 full-text search, vector similarity, and behavioral signals (clicks, purchases, views) into a single ranking formula. Its main advantages over BM25-only search: Zero-result elimination, Query-level CTR feedback, Multi-index / namespaces and Rate limiting. All with a local embedding model - no external APIs.
Hey ! This is Vectoria, a small but smart search engine based on edgestore, my sdd-aware local database. Vectoria is meant to combine vector search with bm25, with specific storage strategies. For Algolia ou meilisearch users there is an APi adaptor but its original API is way simpler. Drop it in and be happy.
About Vectoria — Embedded Hybrid Search on Product Hunt
“A modern, embedded product search for modern platforms”
Vectoria — Embedded Hybrid Search was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #160 on the daily leaderboard. Vectoria combines BM25 full-text search, vector similarity, and behavioral signals (clicks, purchases, views) into a single ranking formula. Its main advantages over BM25-only search: Zero-result elimination, Query-level CTR feedback, Multi-index / namespaces and Rate limiting. All with a local embedding model - no external APIs.
On the analytics side, Vectoria — Embedded Hybrid Search competes within Developer Tools, GitHub, E-Commerce and Search — topics that collectively have 616.4k followers on Product Hunt. The dashboard above tracks how Vectoria — Embedded Hybrid Search performed against the three products that launched closest to it on the same day.
Who hunted Vectoria — Embedded Hybrid Search ?
Vectoria — Embedded Hybrid Search was hunted by gleicon. 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.
For a complete overview of Vectoria — Embedded Hybrid Search including community comment highlights and product details, visit the product overview.
gleicon