Using SQrL for a Movie Recommendation App
Blog post from SingleStore
SQrL, a chatbot from SingleStore, assisted novice developers Arnaud and Pranav in building an AI movie recommender on SingleStoreDB. They used SQrL to easily ingest data from AWS S3, design optimized tables, and write efficient queries. The app features full-text search with autocomplete and semantic search with analytics, leveraging native vector functions and filters. With the help of SQrL, they successfully deployed their app using Vercel's serverless infrastructure, showcasing how SingleStoreDB's capabilities and SQrL's assistance make building AI-powered applications more accessible to hobbyist developers.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Data Pipeline | 1 | 465 | 117 | 53 | -11% |
| Real-time | 1 | 1,849 | 475 | 157 | -1% |
| Serverless | 1 | 527 | 106 | 57 | -41% |
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