examples

Why we included this project

The examples repo is a set of Jupyter notebooks built on the Towhee embedding framework, and it may be the easiest way to see an x2vec-style pipeline working from one end to the other. The bootcamp notebooks walk through concrete retrieval and classification tasks: reverse image search, reverse video search, audio classification, cross-modal text-to-image retrieval, and molecular similarity search. Each one pairs the pipeline with the operators underneath it, like ResNet, CLIP, DPR, or RDKit, so you can watch how a chain of models plus an approximate-nearest-neighbor index comes together. A fine-tuning tutorial and a getting-started pipeline primer round out the collection, which makes the whole thing a workbook for developers and tech leads rather than something to deploy. The examples favor clarity over optimization, so treat them as templates you adapt, not services you drop in.