This topic describes how to build typical vector search scenarios based on OceanBase Database.
Practice tutorials
Build a smart Q&A robot based on OceanBase Database
Document intelligent assistant is an application based on OceanBase Database. It stores documents in the form of vectors. Users can ask questions in the UI, and it will embed the questions into vectors by using the BGE-M3 model and search for similar vectors in the database. After finding the corresponding document content of the similar vector, the application will send the document content and the user's question to the LLM, which will generate a more accurate answer based on the provided document.
Build a "Image Search" application based on OceanBase Database
The "Image Search" application is another application based on OceanBase Database. It stores an image library in the form of vectors in the database. Users can upload the target image for search in the corresponding UI, and the application will convert the image into a vector and search for similar vectors in the database. Finally, it will display similar images in the UI.