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Building generative AI applications with retrieval augmented generation (RAG)
See first-hand how RAG workflows use your proprietary data to provide critical context to your generative AI experiences. This click-through demo shows you an example of an internal application that provides employees with information about company policies.
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![](https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/blt469823511796789a/646f88ee20efde37e1a53210/relevance-workbench.png)
Search
Relevance workbench
In this workbench, you can compare our Elastic Learned Sparse Encoder model (with or without RRF) and traditional textual search using BM25.
Start comparing different hybrid search techniques using TMDB's movies dataset as sample data. Or fork the code and ingest your own data to try it on your own!
![](https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/blt7081547202d9473a/66c89b74928168c4048e4b1e/screenshot-elastiflix-luca.jpg)
Search
Movie search application
Try out this live demo of a movie search application built on top of Elastic Search.
The first part is a front end application implemented using Search UI. Feel free to just play with it or clone the code and try yourself!
![](https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/blt00e9f597c9e3559b/6637a53b959c124f9b108380/CleanShot_2024-05-05_at_17.26.20@2x.png)