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Comprehensive Jupyter notebook examples demonstrating all MeetKai MKA1 capabilities with multilingual support (Urdu, Spanish, English, Portuguese).

Chat Completions

Build conversational AI with our multilingual models. Support for streaming responses, multi-turn conversations, and specialized Urdu and Spanish models. OpenAI-compatible for seamless integration. Models: meetkai:functionary-urdu-mini-pak, meetkai:functionary-es-mini Perfect for: Chatbots, virtual assistants, content generation Check on Colab

Text Embeddings

Convert text into semantic vectors for similarity search, clustering, and recommendations. Process up to 2,048 texts in a single batch request. OpenAI-compatible API. Key Feature: Batch processing with semantic similarity Perfect for: Search engines, recommendations, duplicate detection Check on Colab

Feedback Collection

Track user satisfaction with thumbs up/down ratings and detailed feedback. Link feedback to completion IDs for comprehensive quality monitoring and analytics. Key Feature: Feedback with 2000-character descriptions Perfect for: Quality monitoring, user satisfaction tracking, A/B testing Check on Colab

Text-to-Speech

Convert text to natural speech in 20+ languages with automatic detection. Choose between standard (WAV) or streaming (MP3) modes for low-latency applications. Languages: Urdu, Spanish, English, Arabic, Portuguese and 15+ more Perfect for: Voice assistants, accessibility, language learning Check on Colab

Image Generation

Create AI-generated images from text descriptions. Generate up to 10 variations with customizable sizes (up to 1792px), quality levels, and artistic styles. Model: meetkai:z-image-turbo Perfect for: Marketing content, social media, design prototypes Check on Colab