shoonya - Foundational Models & Agents for commerce

Shoonya AI offers specialized foundation models tailored for commerce use-cases, supporting multiple languages and understanding local contexts. The system is operational with models loaded and an active catalog connection, enabling efficient searches within the commerce network. For instance, a search for "red cotton t-shirt under 500" yields 24 matching products optimized for price and ratings. These models are designed to handle multilingual queries, are fine-tuned for specific commerce verticals, and have a deep understanding of regional commerce patterns and preferences.

Currently, Shoonya AI has an active Catalog Search Agent powering ONDC search demos, with upcoming models for Product Classification and Semantic Product Matching. These integrations aim to enhance the commerce experience by providing precise and contextually relevant search results, leveraging the specialized capabilities of the foundation models.

Key takeaways

Shoonya offers specialized foundation models fine-tuned for commerce use-cases, supporting multiple languages and local contexts.
The platform includes features like multilingual support, domain specialization, and localized context understanding.
Currently available models include the Catalog Search Agent, with more models like Product Classification and Semantic Product Matching coming soon.
Shoonya is integrated with the ONDC search demo, showcasing its capabilities in commerce network searches.

shoonya - Foundational Models & Agents for commerce

Key takeaways

Discussion (0)