Finding the Right Movie with Semantic Search: How We Built Movies++
Blog post from DataStax
Movies++ is a superior movie search experience built using a combination of technologies including DataStax, Langflow, OpenAI, and TMDB. The process involves creating a database with Astra DB, loading movies into the collection, and then querying the data using Langflow to build a RAG pipeline. This pipeline can be exposed over a web API and consumed in an application. To enhance user experience, GenAI capabilities are added to the UI using Vercel AI SDK, allowing for richer elements such as movie covers and trailers. The full demo is available on GitHub and showcases how DataStax's world-class tooling can be used for building innovative GenAI applications.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| RAG | 9 | 1,801 | 200 | 85 | +50% |
| LLM | 1 | 4,537 | 421 | 147 | +51% |
| Vector Search | 1 | 1,704 | 240 | 102 | -4% |
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