Se
Search Engine with On-Disk Payload Storage Reduces RAM Usage
Search Engine with On-Disk Payload Storage Reduces RAM Usage
In new version of Qdrant vector search engine - v0.8.0, on-disk storage allows to store large payload with less RAM usage. Distributed deployment, on-flight payload indexing, filtering by similarity score are among improvements.
Share cardActual performance
3points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
66%66% predicted probability of success on BetaList, based on ML models trained on real launch data.
64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
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