Free
$0Free plan available.
Shoonya provides specialized foundation models and agents for commerce use-cases, supporting multiple languages and local context. It is built for modern retail and commerce applications, offering multilingual, localized, and domain-optimized solutions.
Interact with Shoonya models and agents using specific commands: use `shoonya --status` to check system operational status, `shoonya search "red cotton t-shirt under 500"` to perform product searches, and `shoonya list-models` to view available models. Additionally, you can utilize the ONDC Voice Shopping Demo to search for products via voice commands in various Indian languages.
Shoonya supports multiple languages and mixed-language queries, with a specific focus on Indian languages for voice-enabled shopping.
The ONDC Voice Shopping Demo enables users to search for products from local sellers within India's Open Network for Digital Commerce (ONDC) using voice commands in any Indian language.
The Catalog Search Agent is currently active, while Product Classification and Semantic Product Matching models are coming soon.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Shoonya.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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