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Awesome GitHub RepositoriesMultimodal Embedding Models
Models that map diverse data types into a shared vector space for cross-modal semantic retrieval.
Distinguishing note: Specifically targets the creation of unified vector spaces for multiple data modalities.
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Awesome Multimodal Embedding Models GitHub Repositories
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- google-gemini/gemini-fullstack-langgraph-quickstart
google-gemini/gemini-fullstack-langgraph-quickstart
17,887View on GitHubThis project is an agentic workflow orchestrator designed for building and deploying autonomous systems that perform multi-step reasoning. It functions as a tool-augmented engine, enabling developers to chain model calls with external function execution to complete complex, user-defined tasks. By integrating large language models with persistent memory and stateful logic, the framework supports the creation of intelligent applications capable of independent operation. The platform distinguishes itself through graph-based state orchestration, which allows developers to define logic steps and t
Maps diverse data types like text, images, and audio into a shared coordinate system for semantic retrieval.
Jupyter Notebookgeminigemini-api
