If your application requires full-text searching, finding an open-source full-text search engine can be difficult. Finding a solution that combines full-text search with a graph data model is nearly impossible.
In this lunch break session, Developer Relations Engineer Chris Woodward will introduce you to ArangoSearch, the built-in, full-featured ArangoDB search engine. Discover new worlds by searching over our movie datasets to get exactly the results you are looking for.
The topics discussed in this session include:
- How views and links make your searches quick
- Tokenizing text and ArangoSearch string functions
- The SEARCH keyword of ArangoSearch
- The phrase, ranking, and proximity search features
- How ArangoSearch meets Graphs
If you want to learn more about ArangoSearch, you can check out our other learning resources, get hands-on with this interactive Jupyter Notebook, or access Chris’ demo directly by signing up for a free ArangoDB Oasis account.
About the Presenter:
Chris has over 10 years experience at all angles of technology including service, support, and development. He is also passionate about learning and right now he is focused on improving the learning experience for the ArangoDB community. Chris believes the future is native multi-model and wants to help tell the world.