Florence2-Sharp

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Build, query, and extend the graph + search + AI platform.

Roll out Curiosity to Docker, Kubernetes, or your cloud of choice.

Ship domain-specific AI apps with custom UIs, endpoints, and connectors.

Model your data as typed nodes and edges with stable keys.

Query with text, vector, and hybrid retrieval — permission-aware.

Ground LLMs, embeddings, and agents in your own graph.

Compose UIs in C# with our front-end component library.

Transpile C# to JavaScript and run it in the browser.

Test, ingest, sync, and promote workspaces from any shell.

Browse every open-source project Curiosity maintains.

Support

Guides

Walkthroughs for each major Florence-2 task family.

Short, detailed, and verbose captions — and when to choose each.

Read text from an image as plain text or with bounding boxes per region.

Detect objects with OD, DENSE_REGION_CAPTION, and OPEN_VOCABULARY_DETECTION.

Highlight the region of an image that matches a natural-language phrase.